JP5823909B2 - Weather image display device and weather image display program - Google Patents

Description

  The present invention relates to an apparatus and a program for displaying a plurality of weather images having different scales and ranges.

  Those who conduct weather forecasting and research obtain and analyze weather images representing various weather phenomena such as atmospheric pressure, wind direction, wind power, and cloud cover at various places from governmental or private organizations. . In general, in order to improve the accuracy of weather analysis, it is necessary to grasp each weather phenomenon, the current state of each region, and the current state of each altitude.

  Therefore, weather predictors or researchers obtain various weather images with different representation altitudes and locations, such as ground weather maps, Asian high-rise weather maps, Far East high-rise weather maps, or Asia-Pacific weather maps, The weather images are superimposed in the head by displaying them in a viewer and switching between multiple weather images, or displaying each weather data as a separate window in multiple windows.

  However, the act of imagining superimposed weather images is a very complicated task. Therefore, in recent years, with an increase in computer processing speed, a weather image display device that displays a plurality of weather images superimposed on a screen has also been provided (see, for example, Patent Document 1).

  The weather image display device of Patent Document 1 uses a grid point and a latitude / longitude point appearing in polar stereo projection and Lambert equirectangular projection to identify the scale, orientation, and positional relationship of the weather images to be superimposed. However, a method of synthesizing both together is used. This is a useful technique when a weather image is provided as vector data or when lattice point data or latitude / longitude point data is attached to the image.

JP-A-7-120564

  However, weather images are not necessarily provided in a format that can specify grid points and latitude / longitude points. When weather images are provided as raster data such as bitmaps, grid points and latitude and longitude points are confused with topographic contour lines, isobars, wind direction lines, latitude lines, and longitude lines. Have difficulty.

  That is, it is difficult to superimpose a weather image for which a computer is provided in a format in which it is difficult to specify a grid point or a latitude / longitude point even if the method of Patent Document 1 is used. It did not go away.

  The present invention has been proposed in order to solve the above-described problems of the prior art, and can display a weather image in any data format with a reduced scale, orientation, and positional relationship. An object of the present invention is to provide a weather image display device and a weather image display program capable of performing the above.

According to a first aspect of the present invention, in the weather image display device, an image storage means for storing a plurality of weather images having different scales, positions, or orientations, and another for adjusting the scale of the one weather image. Detection means for detecting a scaling ratio of the weather image, a direction of the other weather image with respect to the one weather image, and a positional relationship between the one weather image and the other weather image, and detected by the detection means On the basis of the enlargement / reduction ratio and the orientation, the adjustment unit adjusts the scale and orientation of the other weather image to the one weather image, and the adjustment unit adjusts based on the positional relationship detected by the detection unit. image generating means for generating a composite image by superimposing the said other weather image and the one weather image, and display means for displaying the composite image, Ru comprising a.

Further, according to a second aspect of the present invention, in the weather image display program, the computer stores an image storage unit that stores a plurality of weather images having different scales, positions, or orientations, and one weather image and a scale. Detecting means for detecting an enlargement / reduction ratio of another weather image for adjusting the orientation, a direction of the other weather image with respect to the one weather image, and a positional relationship between the one weather image and the other weather image; Based on the enlargement / reduction ratio detected by the detection means and the orientation, the adjustment means for adjusting the scale and orientation of the other weather image to the one weather image, and the positional relationship detected by the detection means, It functions as an image generation means for generating a composite image obtained by superimposing the other weather image adjusted by the adjustment means and the one weather image, and a display means for displaying the composite image. That.

And the detection means extracts the latitude line and the longitude line from the plurality of weather images, and the other weather image obtained by extracting the figure surrounded by the latitude line and the longitude line through the extraction of the latitude line and the longitude line. From the marker generation means generated from the above and the one meteorological image that has undergone the extraction of the latitude line and the longitude line, the area matching the figure is changed and the size of the figure is changed and the inclination is rotated at a 90-degree pitch. And a matching means for searching while detecting a change rate of the size of the figure when a match occurs in the matching means as the enlargement / reduction ratio, and a match of the figure when a match occurs in the matching means A direction is detected as a direction of the other weather image with respect to the one weather image, and a search location where a match has occurred by the matching means is determined as a positional relationship of the other weather image with respect to the one weather image. And detecting as.

Alternatively, the detection means includes an extraction means for extracting latitude lines and longitude lines from the plurality of weather images, and the plurality of weather images that have undergone the extraction of the latitude lines and longitude lines. A slope calculating means for specifying the longitude line near large or infinite, and a marker generating means for generating a figure surrounded by the latitude line and the longitude line from the other weather image that has undergone the extraction of the latitude line and the longitude line; A matching unit that searches the region that matches the figure from the one weather image that has undergone the extraction of the latitude line and the longitude line while changing the size of the figure, and is specified by the inclination calculation unit The latitude of the latitude line is detected as the orientation of the plurality of weather images, the change rate of the size of the figure when a match occurs in the matching means is detected as the enlargement / reduction ratio, and the matching means And detecting a search locations致occurs as the positional relationship of the other weather image for the one meteorological images.

  The extraction means includes a Hough transform means for detecting straight lines and curves by Hough transform, and a comparison means for comparing the number of overlapping plots for the straight lines and curves detected by the Hough transform means with predetermined values corresponding to latitude lines and longitude lines. And a straight line and a curve corresponding to the number of overlapping plots that are equal to or greater than the predetermined value may be extracted as latitude lines and longitude lines.

  The extraction means includes a projection conversion means for generating a histogram by setting projection axes that intersect at various angles with respect to the weather image, and a comparison means for comparing the peak of each histogram with a predetermined value. And a straight line orthogonal to a point on the projection axis corresponding to a peak of a predetermined value or more may be extracted as a longitude line.

  According to the present invention, it is possible to easily synthesize a plurality of weather images having different scales, positions, or orientations, and to manage and observe various information in a single composite image. In addition, it is possible to improve the accuracy of grasping the weather phenomenon, and in view of the current situation where the information is scattered into a plurality of weather images, the convenience for the user is dramatically increased.

It is a figure which shows the network structure containing a weather image display apparatus. It is a flowchart which shows the whole operation | movement of the process which a weather image display apparatus performs. It is a block diagram which shows the whole structure of a weather image display apparatus. In a 1st example of a detection, it is a schematic diagram which shows the 1st aspect of the GUI screen displayed on a display means. In a 1st example of a detection, it is a schematic diagram which shows the 2nd aspect of the GUI screen displayed on a display means. In a 1st example of a detection, it is a schematic diagram which shows the 3rd aspect of the GUI screen displayed on a display means. It is a block diagram which shows the weather image display apparatus which concerns on a 1st detection example. It is a flowchart which shows operation | movement of the detection part which concerns on a 1st detection example. It is a block diagram which shows the structure of the detection part which concerns on a 2nd detection example. It is a flowchart which shows operation | movement of the detection part which concerns on a 2nd detection example. It is a 1st schematic diagram which shows the effect | action which concerns on a 2nd detection example. It is a 2nd schematic diagram which shows the effect | action which concerns on a 2nd detection example. It is a 3rd schematic diagram which shows the effect | action which concerns on a 2nd detection example. It is a 4th schematic diagram which shows the effect | action which concerns on a 2nd detection example. It is a 5th schematic diagram which shows the effect | action which concerns on a 2nd detection example. It is a 6th schematic diagram which shows the effect | action which concerns on a 2nd detection example. It is a flowchart which shows the extraction process of the extraction part which concerns on a 2nd detection example. It is a block diagram which shows the structure of the detection part which concerns on a 3rd example of a detection. It is a flowchart which shows the operation | movement which extracts the longitude line which concerns on a 3rd detection example. It is a schematic diagram which shows the effect | action of the longitude line extraction which concerns on a 3rd detection example. It is a block diagram which shows the structure of the detection part which concerns on a 4th example of a detection. It is a flowchart which shows the operation | movement which detects the direction of the weather image which concerns on a 4th example of a detection. It is a block diagram which shows the structure of the detection part which concerns on a 5th example of a detection.

  Hereinafter, an embodiment of a weather image display device in which a weather image display program according to the present invention is installed will be described in detail with reference to the drawings.

(Overall processing)
FIG. 1 is a diagram showing a network configuration including a weather image display device 1. The weather image display device 1 is a so-called computer in which a weather image display program is installed and can be connected to the Internet 200, and is a portable terminal such as a desktop computer, a laptop computer, a workstation, or a smartphone.

  A weather image G providing server 100 is connected to the Internet 200, and the weather image display device 1 downloads a plurality of weather images G from the weather image G providing server 100. The weather image G providing server 100 is a computer provided by the private sector, the Japan Meteorological Agency, or the Meteorological Association, and various weather images G are uploaded.

  The weather images G are of different types, such as ground weather maps, Asian high-rise weather maps, Far-east high-rise weather maps, and Asia-Pacific weather maps, and are provided with at least one of date / time, scale, position, and image orientation May vary depending on the destination.

  Therefore, the weather image display device 1 synthesizes the plurality of weather images G so that the sizes and orientations of the plurality of weather images G are aligned and overlaps with an appropriate positional relationship, and various weather images G have various kinds. Display a single composite image with integrated information.

  FIG. 2 is a flowchart showing the overall operation of the process performed by the weather image display apparatus 1. First, the weather image display device 1 communicates with the weather image G providing server 100 on the Internet 200, and receives a plurality of weather images G from the weather image G providing server 100 (step S01).

  Next, the weather image display apparatus 1 determines one weather image as the reference weather image G1 from the received plurality of weather images G, determines another weather image as the adjusted weather image G2, and adjusts the reference weather image G1. The scaling ratio of the weather image G2, the orientation of the adjusted weather image G2 with respect to the reference weather image G1, and the positional relationship between the reference weather image G1 and the adjusted weather image G2 are detected (step S02).

  Any of the reference weather images G1 may be selected, but for example, a midnight visible image captured using electromagnetic waves in the visible region so that the lowermost layer such as a ground weather map and clouds do not appear is preferable. The enlargement / reduction rate is an enlargement rate or reduction rate of the adjusted weather image G2 for aligning the size with the reference weather image G1. The direction indicates whether east, west, north, or south is set to the top, bottom, left, or right of the image. The positional relationship indicates an overlapping portion between the drawing area of the reference weather image G1 and the drawing area of the adjusted weather image G2.

  When the difference detection of the plurality of weather images G is completed, the weather image display device 1 enlarges or reduces the adjusted weather image G2 at the magnification indicated by the enlargement / reduction ratio (step S03) so as to align with the orientation of the reference weather image G1. The direction of the adjusted weather image G2 is rotated (step S04).

  When the adjustment of the adjusted weather image G2 is completed, the weather image display device 1 generates a composite image in which the adjusted weather image G2 is superimposed on the reference weather image G1 so as to follow the detected positional relationship (step S05).

  And the weather image display apparatus 1 displays a synthesized image on the display means 80 (refer FIG. 3) (step S06). The display means 80 is a liquid crystal display or an organic EL display, and is connected to or attached to the weather image display device 1 which is a computer.

(overall structure)
The overall configuration of the weather image display device 1 will be described. FIG. 3 is a block diagram showing the overall configuration of the weather image display device 1. The weather image display device 1 includes a communication unit 10, a storage unit 20, a detection unit 30, an adjustment unit 40, an image generation unit 50, a database 60, and a viewer 70 by executing a weather image display program.

  The communication unit 10 includes a network adapter that can be connected to a wireless LAN, a wired LAN, or a mobile phone line, and communicates with the weather image G providing server 100 via the Internet 200. Download G. The storage unit 20 includes a temporary storage memory or a non-volatile memory, and the weather image G downloaded by the communication unit 10 is developed.

  The detection unit 30 mainly includes a CPU, and detects the enlargement / reduction ratio, positional relationship, and orientation of the adjusted weather image G2 with respect to the reference weather image G1 stored in the storage unit 20.

  As a detection method, a manual method for detecting an enlargement / reduction ratio, a direction, and a positional relationship according to an adjustment operation using a user's visual GUI, or a figure drawn in common in a plurality of weather images G as a marker is used. And a pattern matching method.

  In the pattern matching method, the figure that can be a marker is scanned on the image with one figure surrounded by latitude and longitude lines, such as Taiwan and other islands that draw a closed loop in the image. The pattern matching is performed while making the figure larger and smaller and rotating at a 90 ° pitch. The orientation of the weather image G may be determined based on whether a longitude line orthogonal to the image crosses the image or crosses the image.

  The adjustment unit 40 mainly includes a CPU, and performs image processing for aligning the size and orientation of the adjusted weather image G2 with the reference weather image G1. The image processing is enlargement / reduction processing and rotation processing of the adjusted weather image G2. The adjustment unit 40 enlarges or reduces the adjusted weather image G2 at a magnification indicated by the enlargement / reduction ratio detected by the detection unit 30. In addition, the adjusting unit 40 rotates the adjusted weather image G2 so that the reference weather image G1 detected by the detecting unit 30 is aligned with the direction of the adjusted image.

  The image generation unit 50 mainly includes a CPU, and generates a composite image in which the reference weather image G1 and the adjusted weather image G2 are superimposed. The position where the adjusted weather image G2 is superimposed follows the positional relationship between the reference weather image G1 and the adjusted weather image G2 detected by the detection unit 30.

  Prior to the synthesizing process, the image generation unit 50 changes the sea area and the land area excluding the contour existing in the weather image G to transparent pixels. When changing to a transparent pixel, the area to be changed to a transparent pixel is separated from the other area by binarizing the weather image G. Prior to the synthesis process, the transparency of the adjusted weather image G2 to be superimposed on the reference weather image G1 is set in advance.

  The database 60 mainly includes an HDD, and registers the downloaded weather image G, composite information, and space-time information. The combination information is the enlargement / reduction ratio, orientation, and positional relationship of the adjusted weather image G2 at the time of combination, and is acquired from the adjustment unit 40. The spatio-temporal information is hierarchical information when superimposing the date and time information attached to the weather image G, and is acquired from the communication unit 10.

  The viewer 70 is mainly configured to include a CPU, and displays a composite image on the display unit 80 or continuously displays a plurality of composite images registered in the database 60 in order of photographing date and time or in reverse order.

(First detection example)
A detection example of the enlargement / reduction ratio, direction, and positional relationship in the weather image display apparatus 1 will be described in detail. In this detection example, the user visually changes the size, orientation, and drawing position of the image using the GUI interface.

  4 to 6 are schematic diagrams showing a GUI screen 81 displayed on the display unit 80. FIG. As shown in FIGS. 4 to 6, the detection unit 30 causes the display unit 80 to display a GUI screen 81. On the GUI screen 81, a drawing field, a rotation button 82, and a confirmation button 83 are displayed. The reference weather image G1 and the adjusted weather image G2 are displayed in the drawing field. The GUI screen 81 is provided with a color change icon 84 for changing the color and transparency of the weather image G and a transparency change bar 85.

  As shown in FIG. 4, when the pointer 86 is positioned on the adjusted weather image G2 and dragged, the detection unit 30 moves the adjusted weather image G2 from the dragging start point to the end point. That is, if a mouse event indicating a mouse button press occurs and the position of the pointer 86 at the time of the mouse event is in the adjusted weather image G2, the mouse 86 is kept at the position of the pointer 86 while the mouse button is continuously pressed. The adjusted weather image G2 is moved.

  As shown in FIG. 5, when the rotation button 82 is clicked, the detection unit 30 detects the number of clicks, and rotates the weather image G to be adjusted by 90 degrees according to the number of clicks.

  Further, as shown in FIG. 6, when the pointer 86 is moved to the corner of the adjusted weather image G2 and dragged, the detection unit 30 causes the adjusted weather image G2 to be positioned at the end point of the drag. Enlarge or reduce while maintaining the aspect ratio. That is, if a mouse event indicating that the mouse button is pressed occurs and the position of the pointer 86 at the time of the mouse event is the corner of the weather image G to be adjusted, the pointer 86 is maintained while the mouse button is being pressed. The weather image G is enlarged or reduced so that the corner is located at the position of.

  Note that by operating the mouse wheel back and forth, the current visual field center may be enlarged / reduced to be the center of enlargement / reduction.

  When the confirm button 83 is pressed, the detection unit 30 specifies the position of the adjusted weather image G2 with respect to the reference weather image G1, the enlarged or reduced magnification, and the direction after rotation as the adjustment information.

  That is, the detection unit 30 includes a display control unit 31 as shown in FIG. The display control unit 31 causes the display unit 80 to display a GUI screen 81 in which a plurality of weather images G are superimposed, and the detection unit 30 performs adjustment including an enlargement / reduction ratio, a position, and an orientation after rotation according to a user operation. Information is stored while being updated sequentially.

  FIG. 8 is a flowchart showing the operation of the detection unit 30. First, the display control unit 31 of the detection unit 30 reads a plurality of weather images G from the storage unit 20 (step S11), and displays the weather images on the drawing field on the GUI screen 81 (step S12). At this time, so that a plurality of weather images G can be distinguished, it is emphasized by a thick colored line that traces the frame of the image, or the color of isolines and latitude / longitude lines can be changed for each weather image G so that they can be distinguished with the naked eye. It may be.

  When the user performs an operation of moving the adjusted weather image G2 using the input unit 90 (step S13), the display control unit 31 redraws the adjusted weather image G2 at a destination corresponding to the operation (step S14) and detects it. The unit 30 includes the coordinates of the movement destination in the adjustment information as information indicating the positional relationship (step S15).

  When the rotation button 82 is clicked (step S16), the display control unit 31 rotates the adjusted weather image G2 by 90 degrees and redraws it (step S17), and the detection unit 30 changes the direction of the total rotation angle. It is included in the adjustment information as information to be shown (step S18).

  Further, when the user performs an operation of enlarging or reducing the adjusted weather image G2 using the input unit 90 (step S19), the display control unit 31 enlarges or reduces the adjusted weather image G2 according to the operation and redraws it. (Step S20), the detection unit 30 includes the enlarged or reduced magnification in the adjustment information as information indicating the enlargement / reduction ratio (step S21).

  When the confirmation button 83 is clicked (step S22), the detection unit 30 finalizes the adjustment information and passes it to the adjustment unit 40 and the image generation unit 50 (step S23), and the detection process is terminated. The adjustment unit 40 changes the size and orientation of the adjusted weather image G2 in accordance with the delivered adjustment information, and the image generation unit 50 has a positional relationship indicated by the adjustment information about the adjusted weather image G2 whose size and orientation have been changed. Then, a composite image with the reference adjustment image is generated.

(Second detection example)
Further, the second detection example will be described in detail. In the second detection example, adjustment information is specified using a pattern matching method. As shown in FIG. 9, the detection unit 30 includes an extraction unit 32 that extracts a latitude line Li and a longitude line Lk by Hough transform, a marker generation unit 33 that generates a graphic Ob serving as a marker from the adjusted weather image G2, A matching unit 34 that performs pattern matching between the figure Ob used as a marker and each part of the reference weather image G1 is provided.

  FIG. 10 is a flowchart showing the operation of the detection unit 30. FIGS. 11 to 16 are schematic diagrams showing the operation of the detection unit 30. FIG.

  First, as illustrated in FIG. 11, the extraction unit 32 extracts the latitude line Li and the longitude line Lk from the reference weather image G1 and the adjusted weather image G2 using the Hough transform (step S31).

  Next, as shown in FIG. 12, the marker generation unit 33 extracts the outline of one region surrounded by the latitude line Li and the longitude line Lk from the adjusted weather image G2 as a graphic Ob (step S32).

  When the figure Ob is extracted, the matching unit 34 scans the reference weather image G1 with the figure Ob using the extracted figure Ob as shown in FIG. 13 (step S33). In this scanning process, the matching unit 34 gradually enlarges or reduces the figure Ob at each place as shown in FIG. 14 (step S34), and further changes the orientation of the figure Ob at each place as shown in FIG. The pattern is rotated step by step (step S35) and sequential pattern matching is performed.

  That is, the matching unit 34 determines whether or not the area surrounded by the latitude line Li and the longitude line Lk at each place matches the figure Ob used as the marker (step S36).

  As shown in FIG. 16, when there is a region that matches the figure Ob (step S36, Yes), the position becomes the superimposed weather image G2, and the magnification of the figure Ob when matched matches the adjusted weather. The enlargement / reduction ratio of the image G2 is obtained, and the amount of rotation of the figure Ob when matched is the amount by which the adjusted weather image G2 is rotated. These pieces of information are included in the adjustment information (step S37).

  The extraction unit 32 using the Hough transform will be described in more detail. As illustrated in FIG. 9, the extraction unit 32 includes a Hough conversion unit 35, and extracts a straight line or a curve from the weather image G using a Hough conversion process. The extraction unit 32 includes a comparison unit 36, and selects the latitude line Li and the longitude line Lk from the straight line and the curve by comparing the angle by the Hough transform, the number of overlapping plots for each distance, and a predetermined value.

  FIG. 17 is a flowchart showing the extraction process of the latitude line Li and the longitude line Lk by the extraction unit 32. First, the Hough conversion unit 35 reads the weather image G from the storage unit 20 (step S41). Then, the Hough conversion unit 35 scans the weather image G and searches for pixels for which black is set (step S42). That is, if the weather image G is not a monochrome image, it is binarized in advance.

  Next, the Hough transform unit 35 sets a straight line with an angle θ passing through the detected black pixel on the weather image G (step S43), and obtains a distance r from the origin of the weather image G to the straight line (step S43). S44) and plot in the polar coordinate two-dimensional space of (θ, r) (step S45). The conversion to the polar two-dimensional space is performed for all straight lines at each angle θ for all black pixels.

  Further, the Hough transform unit 35 sets the center coordinates (X, Y) of the ellipse that passes through the detected black pixel (step S46), determines the ellipse radius r (step S47), and (X, Y, r). ) In a three-dimensional space (step S48). This conversion to the three-dimensional space is performed for all ellipses passing through all black pixels. The center of the ellipse refers to the intersection of the major axis and the minor axis.

  Then, the Hough transform unit 35 counts the number of times plotted overlapping the same coordinates (θ, r) and (X, Y, r) (step S49).

  When the processing by the Hough transform unit 35 is completed, the comparison unit 36 compares the number plotted in duplicate with the same coordinates (θ, r) and (X, Y, r) with a predetermined value, respectively (step S50). . Then, the coordinates where the number of overlapping plots greater than or equal to the predetermined value is counted are specified as coordinate information indicating the latitude line Li and the longitude line Lk (step S51).

  This predetermined value is a value corresponding to the number of overlapping plots corresponding to a straight line or a curve indicating the latitude line Li or the longitude line Lk. In the weather image G, there are various straight lines and curves such as coastlines, isobars, wind symbols, etc., but the latitude line Li and longitude line Lk are overwhelmingly longer than these. Therefore, the latitude line Li, the longitude line Lk, and other lines can be distinguished by providing a threshold value for separating the latitude line Li and the longitude line Lk from other straight lines and curves.

(Third detection example)
Further, the third detection example will be described in detail. In the third detection example, a projection conversion technique is used to extract a longitude line Lk that is a straight line. That is, as illustrated in FIG. 18, the extraction unit 32 includes a Hough conversion unit 35, a projection conversion unit 37, and a comparison unit 36.

  The projection conversion unit 37 projects the weather image G on the projection axis Pa in each direction. In the extraction process of the longitude line Lk, the comparison unit 36 detects a projection line passing through a position corresponding to the peak as a longitude line Lk by detecting a peak of a predetermined value or more from each histogram Hg obtained by projection. .

  FIG. 19 is a flowchart showing the operation of extracting the longitude line Lk by the extracting unit 32. FIG. 20 is a schematic diagram illustrating the operation of the extraction unit 32.

  First, as shown in FIGS. 19 and 20, the projection conversion unit 37 sets a projection space having a projection axis Pa that intersects the weather image G at various angles on the same plane as the weather image G, and performs projection conversion. (Step S61). The projection space has a projection axis Pa at an angle θ and a vertical axis orthogonal to the projection axis Pa. Then, the projection conversion unit 37 counts the number of black pixels on each straight line orthogonal to each point on the projection axis Pa, and generates a histogram Hg on the projection axis Pa at the angle θ (step S62). The processing of S61 to S62 is performed for each projection axis Pa at each angle θ.

  Next, the comparison unit 36 detects a peak of each histogram Hg (step S63), and extracts a peak that is equal to or greater than a predetermined value (step S64). And the comparison part 36 specifies the straight line orthogonal to the point on the projection axis | shaft Pa corresponding to the peak more than a predetermined value as the longitude line Lk (step S65).

(Fourth detection example)
Further, a fourth detection example will be described in detail. The detection unit 30 according to the fourth detection example is different from the first detection example in the aspect of detecting the direction of the weather image G. In the fourth detection example, a longitude line Lk having an inclination of 0 or infinity is searched, and the direction of the weather image G is detected based on the direction of the longitude line Lk. That is, as illustrated in FIG. 21, the detection unit 30 includes an inclination calculation unit 38.

  FIG. 22 is a flowchart showing an operation of detecting the direction of the weather image G by the inclination calculation unit 38. First, the inclination calculation unit 38 specifies the coordinates of two points on the longitude line Lk extracted by the extraction unit 32 (step S71).

  Then, the inclination calculation unit 38 determines whether the X coordinate or Y coordinate of the two points is the same or different (step S72). If they are different (step S72, No), S71 to S72 are repeated for the next longitude line Lk.

  On the other hand, if it is the same (step S72, Yes), the extending direction of the longitude line Lk passing through the two points is set as the direction of the weather image G (step S73). The inclination calculation unit 38 detects a longitude line Lk orthogonal to the vertical or horizontal side of the weather image G, and specifies the direction of the weather image G.

  Strictly speaking, 0 or infinity includes the vicinity of 0 or infinity, and whether the X coordinate or Y coordinate of the two points are the same or different, the coordinate value is within a predetermined range. It is judged by whether or not.

(Fifth detection example)
Further, a fifth detection example will be described in detail. Compared to the first to fourth detection examples, the detection unit 30 according to the fifth detection example stores a graphic Ob used as a marker in advance. That is, as shown in FIG. 23, the detection unit 30 includes a marker storage unit 39 and a matching unit 34. The marker storage unit 39 stores a figure Ob of a terrain such as Taiwan that draws a loop whose contour is closed in the weather image G. The matching unit 34 scans the weather image G with the graphic Ob whose size and orientation are changed, and performs matching for a while.

(effect)
As described above, the weather image display device 1 in which the weather image display program is installed includes the storage unit 20, the detection unit 30, the adjustment unit 40, the image generation unit 50, and the display unit 80. The memory | storage part 20 memorize | stores the some weather image G from which at least any one of a reduced scale, a position, or direction differs. The detection unit 30 is configured to determine an enlargement / reduction ratio of another weather image to match the scale of the one weather image, a direction of the other weather image with respect to the one weather image, and a positional relationship between the one weather image and the other weather image. To detect. The adjustment unit 40 adjusts the scale and direction of other weather images to one weather image based on the enlargement / reduction ratio and the direction detected by the detection unit 30. Based on the positional relationship detected by the detection unit 30, the image generation unit 50 generates a composite image in which the other weather image adjusted by the adjustment unit 40 and the one weather image are superimposed. Then, the display unit 80 displays this composite image.

  In detecting the enlargement / reduction ratio, direction, and positional relationship, first, a latitude line Li and a longitude line Lk are extracted from a plurality of weather images G. Next, the figure Ob surrounded by the longitude line Lk and the latitude line Li is generated from other weather images that have undergone the extraction of the latitude line Li and the longitude line Lk. Then, from one meteorological image that has undergone the extraction of the latitude line Li and the longitude line Lk, the area that matches the extracted figure Ob is searched while changing the size of the figure Ob and rotating the inclination at a 90-degree pitch. To do.

  Then, the change rate of the size of the figure Ob when a match occurs in the matching is detected as an enlargement / reduction ratio, the direction of the figure Ob is detected as the direction of another weather image with respect to one weather image, and a match has occurred. A search location is detected as a positional relationship of another weather image with respect to one weather image.

  The latitude line Li and the longitude line Lk detect straight lines and curves by the Hough transform, compare the number of overlapping plots with a predetermined value corresponding to the latitude line Li and the longitude line Lk, and calculate the number of overlapping plots that is equal to or greater than the predetermined value. Corresponding straight lines and curves may be extracted as latitude lines Li and longitude lines Lk.

  Thereby, it is possible to easily synthesize a plurality of weather images G having different scales, positions, or orientations, and to manage and observe various information in a single synthesized image. The accuracy of grasping the weather phenomenon can be improved, and in view of the current situation in which information is scattered in a plurality of weather images G, the convenience for the user is dramatically increased.

  Furthermore, according to the technique of extracting the latitude line Li and the longitude line Lk and using the figure Ob surrounded by these lines as a marker, the meteorological image G of raster data, which is difficult to extract markers such as lattice points, is used. Even if it exists, it becomes possible to automatically generate a composite image.

  Further, in one detection example of the present embodiment, a longitude line Lk having a slope of 0, near 0, infinity, or near infinity is identified from a plurality of weather images G that have undergone extraction of the latitude line Li and the longitude line Lk. The inclination of the specified latitude line Li is detected as the directions of a plurality of weather images G.

  This eliminates the need to make a match while changing the orientation of the marker as compared with the case where matching is performed using the graphic Ob as a marker, and the matching processing is up to a quarter load. Can be speeded up.

  In one detection example of the present embodiment, a histogram Hg is generated by setting a projection axis Pa that intersects the weather image G at various angles and performing projection conversion, and each histogram Hg has a peak and a predetermined value. And a straight line orthogonal to a point on the projection axis Pa corresponding to a peak of a predetermined value or more is extracted as the longitude line Lk.

  Thereby, when performing the automatic processing, the extraction of the longitude line Lk can be realized by a method that is much lighter than the Hough transform, so that the overall automatic processing can be speeded up.

  As mentioned above, although several embodiment of this invention was described, these embodiment was shown as an example. That is, these embodiments can be implemented in various forms by performing various omissions, replacements, and changes without departing from the spirit of the invention. And these embodiment and its deformation | transformation are included in the invention described in the claim, and its equivalent range.

  For example, when searching for the enlargement / reduction ratio, orientation, and positional relationship of the adjusted weather image G2 with respect to the reference weather image G1, latitude line Li and longitude are combined using Hough transform, projection processing, and manual input by the user's visual observation. The line Lk may be extracted.

DESCRIPTION OF SYMBOLS 1 Weather image display apparatus 10 Communication part 20 Storage part 30 Detection part 31 Display control part 32 Extraction part 33 Marker generation part 34 Matching part 35 Hough conversion part 36 Comparison part 37 Projection conversion part 38 Inclination calculation part 39 Marker storage part 40 Adjustment part 50 Image generation unit 60 Database 70 Viewer 80 Display means 81 GUI screen 82 Rotate button 83 Confirm button 84 Color change icon 85 Transparency change bar 86 Pointer 90 Input means 100 Weather image providing server 200 Internet G Weather image G1 Reference weather image G2 Adjusted weather Image Li Latitude line Lk Longitude line Ob Graphic Pa Non-projection axis Hg Histogram

Claims (8)

Image storage means for storing a plurality of weather images having different scales, positions, or orientations;
Detecting an enlargement / reduction ratio of another weather image to match the scale of the one weather image, a direction of the other weather image with respect to the one weather image, and a positional relationship between the one weather image and the other weather image Detecting means for
Adjusting means for adjusting the scale and orientation of the other weather image to the one weather image based on the scaling ratio and the orientation detected by the detecting means;
Based on the positional relationship detected by the detection means, an image generation means for generating a composite image obtained by superimposing the other weather image adjusted by the adjustment means and the one weather image;
Display means for displaying the composite image;
With
The detection means includes
Extraction means for extracting latitude lines and longitude lines from the plurality of weather images;
Marker generating means for generating a figure surrounded by a latitude line and a longitude line from the other weather image that has undergone the extraction of the latitude line and the longitude line;
Matching means for searching from the one meteorological image that has undergone the extraction of the latitude line and the longitude line while searching for an area that matches the figure while changing the size of the figure and rotating the inclination at a 90-degree pitch;
With
Detecting a change rate of the size of the figure when a match occurs in the matching means as the enlargement / reduction rate;
Detecting the orientation of the figure when a match occurs in the matching means as the orientation of the other weather image with respect to the one weather image;
Detecting a search location where a match has occurred in the matching means as a positional relationship of the other weather image with respect to the one weather image;
A weather image display device characterized by the above. Image storage means for storing a plurality of weather images having different scales, positions, or orientations;
Detecting an enlargement / reduction ratio of another weather image to match the scale of the one weather image, a direction of the other weather image with respect to the one weather image, and a positional relationship between the one weather image and the other weather image Detecting means for
Adjusting means for adjusting the scale and orientation of the other weather image to the one weather image based on the scaling ratio and the orientation detected by the detecting means;
Based on the positional relationship detected by the detection means, an image generation means for generating a composite image obtained by superimposing the other weather image adjusted by the adjustment means and the one weather image;
Display means for displaying the composite image;
With
The detection means includes
Extraction means for extracting latitude lines and longitude lines from the plurality of weather images;
An inclination calculating means for specifying the longitude line having an inclination of 0, near 0, infinity, or near infinity from the plurality of weather images that have undergone extraction of the latitude line and the longitude line;
Marker generating means for generating a figure surrounded by a latitude line and a longitude line from the other weather image that has undergone the extraction of the latitude line and the longitude line;
From the one weather image that has undergone the extraction of the latitude line and the longitude line, a matching unit that searches for a region that matches the figure while changing the size of the figure,
With
Detecting the inclination of the latitude line specified by the inclination calculating means as the direction of the plurality of weather images;
Detecting a change rate of the size of the figure when a match occurs in the matching means as the enlargement / reduction rate;
Detecting a search location where a match has occurred in the matching means as a positional relationship of the other weather image with respect to the one weather image;
A weather image display device characterized by the above. The extraction means includes
Hough transform means for detecting straight lines and curves by Hough transform;
A comparison means for comparing the number of overlapping plots for the straight lines and curves detected by the Hough transform means with a predetermined value corresponding to a latitude line and a longitude line;
With
Extracting a straight line and a curve corresponding to the number of overlapping plots that are equal to or greater than the predetermined value as a latitude line and a longitude line;
The meteorological image display device according to claim 1 or 2 . The extraction means includes
A projection conversion means for generating a histogram by setting a projection axis that intersects the weather image at various angles and performing projection conversion;
A comparison means for comparing the peak of each histogram with a predetermined value;
With
Extracting a straight line perpendicular to a point on the projection axis corresponding to a peak of a predetermined value or more as a longitude line;
The meteorological image display device according to claim 1 or 2 . Computer
Image storage means for storing a plurality of weather images having different scales, positions, or orientations;
Detecting an enlargement / reduction ratio of another weather image to match the scale of the one weather image, a direction of the other weather image with respect to the one weather image, and a positional relationship between the one weather image and the other weather image Detecting means for
Adjusting means for adjusting the scale and orientation of the other weather image to the one weather image based on the scaling ratio and the orientation detected by the detecting means;
Based on the positional relationship detected by the detection means, an image generation means for generating a composite image obtained by superimposing the other weather image adjusted by the adjustment means and the one weather image;
Display means for displaying the composite image;
To function,
The detection means includes
Extraction means for extracting latitude lines and longitude lines from the plurality of weather images;
Marker generating means for generating a figure surrounded by a latitude line and a longitude line from the other weather image that has undergone the extraction of the latitude line and the longitude line;
Matching means for searching from the one meteorological image that has undergone the extraction of the latitude line and the longitude line while searching for an area that matches the figure while changing the size of the figure and rotating the inclination at a 90-degree pitch;
With
Detecting a change rate of the size of the figure when a match occurs in the matching means as the enlargement / reduction rate;
Detecting the orientation of the figure when a match occurs in the matching means as the orientation of the other weather image with respect to the one weather image;
Detecting a search location where a match has occurred in the matching means as a positional relationship of the other weather image with respect to the one weather image;
A weather image display program characterized by Computer
Image storage means for storing a plurality of weather images having different scales, positions, or orientations;
Detecting an enlargement / reduction ratio of another weather image to match the scale of the one weather image, a direction of the other weather image with respect to the one weather image, and a positional relationship between the one weather image and the other weather image Detecting means for
Adjusting means for adjusting the scale and orientation of the other weather image to the one weather image based on the scaling ratio and the orientation detected by the detecting means;
Based on the positional relationship detected by the detection means, an image generation means for generating a composite image obtained by superimposing the other weather image adjusted by the adjustment means and the one weather image;
Display means for displaying the composite image;
To function,
The detection means includes
Extraction means for extracting latitude lines and longitude lines from the plurality of weather images;
An inclination calculating means for specifying the longitude line having an inclination of 0, near 0, infinity, or near infinity from the plurality of weather images that have undergone extraction of the latitude line and the longitude line;
Marker generating means for generating a figure surrounded by a latitude line and a longitude line from the other weather image that has undergone the extraction of the latitude line and the longitude line;
From the one weather image that has undergone the extraction of the latitude line and the longitude line, a matching unit that searches for a region that matches the figure while changing the size of the figure,
With
Detecting the inclination of the latitude line specified by the inclination calculating means as the direction of the plurality of weather images;
Detecting a change rate of the size of the figure when a match occurs in the matching means as the enlargement / reduction rate;
Detecting a search location where a match has occurred in the matching means as a positional relationship of the other weather image with respect to the one weather image;
A weather image display program characterized by The extraction means includes
Hough transform means for detecting straight lines and curves by Hough transform;
A comparison means for comparing the number of overlapping plots for the straight lines and curves detected by the Hough transform means with a predetermined value corresponding to a latitude line and a longitude line;
With
Extracting a straight line and a curve corresponding to the number of overlapping plots that are equal to or greater than the predetermined value as a latitude line and a longitude line;
The weather image display program according to claim 5 or 6 , characterized by the above. The extraction means includes
A projection conversion means for generating a histogram by setting a projection axis that intersects the weather image at various angles and performing projection conversion;
A comparison means for comparing the peak of each histogram with a predetermined value;
With
Extracting a straight line perpendicular to a point on the projection axis corresponding to a peak of a predetermined value or more as a longitude line;
The weather image display program according to claim 5 or 6 , characterized by the above.

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