JP2005018507A - Personal digital assistant and method of recognizing character using it - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve the problem with a method of recognizing characters using a mobile terminal wherein a user must make manual adjustments by holding a terminal body in hand and adjusting the position and direction of the body so that the subject of recognition fits inside the frame of a display part. <P>SOLUTION: A personal digital assistant or a cellphone comprises an image input part for inputting images; a display part for displaying inputted image data; an operating part for the user to operate buttons for inputs; a character recognition part for recognizing characters within the images; and a control part for controlling the whole terminal. After shooting, images of strings or rows of characters on the image are extracted. From the extracted images of strings or rows of characters, the image of the string or row of characters to be recognized is selected by the user's operation to automatically recognize the characters. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a technique for selecting a character string in a captured image and recognizing the character in an image input means, specifically, a portable information terminal or a mobile phone having a camera.
[0002]
[Prior art]
Patent Document 1 in which a mobile phone is equipped with a camera has been proposed. Generally, when recognizing characters on an image using this portable information terminal, the user manually adjusts the position and orientation of the terminal main body, so that the recognition target frame displayed on the display unit , It is necessary to adjust so that the recognition object fits.
[0003]
[Patent Document 1]
JP 2003-169187 A
[Problems to be solved by the invention]
To perform complex processing such as character recognition using such a conventional portable terminal, the user picks up the terminal body and adjusts the position and orientation of the body so that the recognition target is within the frame of the display unit. The user himself had to make fine adjustments so as to be within the range, and there were the following problems in terms of operability.
(1) At this time, since the screen of the display unit is small, it is difficult to determine the character to be recognized in the frame.
(2) In order to direct the main body toward the recognition object, the position and orientation of the main body are adjusted and the position and orientation of the display section change at the same time, so the display on the display section is difficult to see.
(3) Since the main body is directed to the recognition target, it cannot be directed to an angle at which the display unit cannot be viewed.
(4) When the shutter button is pressed during image acquisition, the terminal main body vibrates and the recognition target comes off the frame.
(5) Since the recognition target is determined at the time of image acquisition, an operation such as changing the recognition target cannot be performed after the image acquisition, and character recognition at a plurality of locations cannot be performed with one image acquisition.
There were problems such as.
[0005]
In view of the above, the present invention has been made in view of the above points, and solves some or all of the above problems. In particular, in character recognition using a portable information terminal or a mobile phone, after image acquisition. A character string selection method by which a character string image to be recognized can be easily selected by arbitrarily selecting a character string image to be recognized by a user operation, and a character recognition method for recognizing the selected character string image. It is intended to provide.
[0006]
[Means for Solving the Problems]
In order to achieve the above object, an image input unit (or a camera or an imaging unit) for inputting an image, a display unit for displaying image data input by the input unit, and an operation unit for a user to perform an input operation such as a button, In a portable information terminal or mobile phone having a character recognition unit for recognizing characters in an image and a control unit for controlling the whole, a character string image or a character line image on the image is extracted after shooting, and the extracted character string Provided is a portable terminal or a character recognition method suitable for selecting a character string image or a character line image to be recognized within a certain range by a user operation from an image or a character line image.
[0007]
Further, in a character recognition method using a portable information terminal or a mobile phone and the terminal, after recognizing the inside of the character string image or the inside of the character line image, the recognition target character string is obtained by collating the character recognition result with the notation dictionary. An apparatus or method for extraction is provided.
[0008]
In addition, after extracting a character string image or character line image, a word is extracted from the character string image or character line image, a word to be recognized is selected from the extracted words by a user operation, and the selected word An apparatus and method for character recognition are provided.
[0009]
In addition, by allowing the user to select in advance which part of the image the user wants to recognize by the operation unit, an apparatus and a character recognition method for easily recognizing the character of the image based on the position of the selected image. provide.
[0010]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, embodiments of the present invention will be described with reference to FIGS.
FIG. 1 is a configuration diagram showing an outline of a portable information terminal or a mobile phone 100 (or simply referred to as a form terminal or form apparatus) having an image input unit according to the present embodiment. An image of a character recognition target such as a business card, magazine, or signboard is input from the image input unit 110, line candidates are extracted by the character recognition unit 150, and character line candidates (images) are displayed on the display unit 120. A user selects a character line to be recognized from character line candidates extracted by operating the operation unit 130, and the recognition unit 150 recognizes the selected character line.
[0011]
The operation unit 130 is generally used when a user makes a call or the like. In addition, a recognition execution button 131 that is pressed when the user performs recognition of an image displayed on the display unit 120. The upper button 132 for selecting the upper line or character string to be recognized for the image displayed on the display unit, the right button 133 used for selecting the right character string, and the lower line or character string are selected. A lower button 134 used sometimes and a left button 135 used when selecting a left character string are also provided.
[0012]
The character recognition unit 150 includes an image binarization unit 151 that binarizes the digital image input from the image input unit 110, a connected component extraction unit 152 that extracts a connected component in which black pixels are connected, and a combination of the connected components. A character line extraction unit 153 that extracts character line candidates, a character cutout unit 154 that cuts out characters from the character line image, a character identification unit 155 that converts a character pattern divided into characters into character codes, and a character recognition result. The character recognition unit 150, the operation unit 130, the image input unit 110, the display unit 120, etc., and the control of each unit are controlled by a CPU, a memory The function is controlled by the control unit 140 including the above. Each unit described above and below can be expressed as means, mechanism, and unit, and is basically a function that is processed and controlled by software or hardware, or a combination of software and hardware. It should be noted that it is desirable that an image captured, acquired, input, or the like is stored in a memory such as a control unit or a memory card provided in a portable terminal so as to be used for character recognition described later. In this example, since a horizontally written image is used, the example of each part is described as a character line, but it goes without saying that it may be a vertically written image in the vertical direction with respect to the display image, that is, a character string. .
[0013]
FIG. 2 is a diagram for explaining the processing procedure of the first embodiment using the mobile terminal of FIG. The processing and control described below are mainly performed by the control unit and control unit 140, but the description is omitted.
[0014]
The user uses the image input means 110 such as a CCD or an image sensor provided in the portable information terminal or the cellular phone 100 to take an image of a business card, magazine, signboard, or the like as a character recognition target, and temporarily stores the image in the apparatus. The digital image is captured on the memory provided in the storage memory or the control unit 140 (step 201). The digital image captured and binarized is binarized by the image binarization unit 151 of the character recognition unit 150 (step 202), and among the components binarized by the connected component extraction unit 152, the connected components of black pixels are converted. Extract (step 203).
[0015]
The character line extraction unit 153 compares the size of the circumscribed rectangles of the extracted connected components and the distance between the circumscribed rectangles, and extracts the character lines included in the acquired image (step 204). As will be described later, the extracted character line is displayed on the display unit 120 so as to be understood by the user, and the user who sees the extracted character line operates as a character recognition target in the image by operating the button of the operation unit 130. A row is selected (step 205).
[0016]
In step 206, after the user has selected the character line to be recognized, the user presses the recognition execution button 131 to determine the character line to be recognized, and proceeds to the next step.
Character extraction for each character is performed in the character line selected in step 206 (step 207), and character identification is performed by the character identification unit 155 for each extracted character pattern (step 208). ). Then, the notation dictionary matching unit 156 performs matching with a notation dictionary provided in advance as a result of character identification (step 209), and the character string that has been matched in step 210 is output as a recognition result to perform character recognition processing. finish. The character recognition result is displayed on the display unit 120, and the user recognizes a part of a specific area of the image input by the image input unit 110 by executing an operation such as saving the character by the operation unit 130. It can be saved in the form (character code) combined with the address book.
[0017]
FIG. 3 is a diagram showing a detailed processing procedure of the character line extraction unit 153 that performs the main function in the character line extraction step 204 of FIG.
[0018]
As described above, in particular, connected components of black pixels are extracted from the digital image by the binarization process, and the projection distribution in the horizontal direction of the image is obtained by analyzing the extracted image, particularly the state of the black pixels. (Step 301). Then, the vertical range of the character line, specifically, the vertical coordinate position is obtained based on a certain reference from the projection distribution (step 302), and the circumscribing of the connected component obtained in step 203 within this character line range. The final character line coordinates can be obtained (step 304) by comparing the size of the rectangle and the distance between the circumscribed rectangles, that is, the process of merging the connected components (step 304). To detect.
[0019]
FIG. 4 is a principle diagram for explaining the calculation of the projection of the character line included as the image information in step 302. As shown in the figure, the character line extraction area 400 is the whole or a part of the character recognition target image acquired in step 201. The name, company name, company address, telephone and fax number, and e-mail address information are shown as examples of business cards. Is included.
[0020]
The input image described above is projected in the horizontal direction of the drawing to obtain a projection distribution. As a method for obtaining the projection, a method of adding the number of pixels in the horizontal direction as shown in the figure is simple and desirable. Or you may take the addition value of the length of the side of the circumscribed rectangle of the connected component extracted at step 203. The coordinate axis 412 is a horizontal projection distribution, and the coordinate axis 411 corresponds to the vertical coordinate axis of the region. By this projection distribution calculation process, it is possible to grasp in the portable terminal that the non-zero value range 413 to 418 corresponds to the range of the vertical coordinate where the character line exists.
[0021]
FIG. 5 is a diagram for explaining the processing for fusing the connected components in step 303 and calculating the character line coordinates in step 304.
The one-line extraction area 500 is one of the character line ranges calculated in step 302, and specifically illustrates items of telephone numbers in the character line range 416 of FIG. The one-line extraction area 500 includes a plurality of circumscribed rectangles 501 of connected components, and the plurality of circumscribed rectangles become circumscribed rectangles of character components. Then, the sizes of these circumscribed rectangles and the distances between the circumscribed rectangles are compared, and rectangles having the same size or rectangles close to each other are merged in the horizontal direction. By merging the circumscribed rectangles 501 of the connected components, a character line upper left coordinate 511 and a character line lower right coordinate 512 are calculated, and the character line 510 described in the final step 304 is generated.
[0022]
FIG. 6 is a diagram for explaining a character line extraction result. The character line extraction area 600 shows the original image of FIG. 4 recognized by the above-described steps of FIG. 3 and developed into the obtained character lines (images). As shown in the figure, six character lines 601 are shown. ˜606 can be automatically recognized on the apparatus. As for the coordinate points of these character lines, upper left coordinates and lower right coordinates are obtained from a certain reference position, and as shown in FIG. 7, the upper left coordinates X-axis and Y-axis coordinate points and the lower right coordinates X-axis for each character line. , Y-axis coordinate points are stored in a character line table 700 on a memory provided in the control unit 140.
[0023]
FIG. 8 is a diagram for explaining a display example of screen transition of the display unit 120 in the character line selection operation in step 205.
A character line selection screen 800 and a currently selected line 801 are displayed on the display unit 120. The currently selected line 801 is one of the character lines extracted in step 204. When the user depresses the upper button 132 or the lower button 134, this is detected, the reference pointer of the character line table 700 shown in FIG. 7 is incremented or decremented, and the upper left and right of the character line temporarily stored in the table 700 are displayed. The lower coordinates are read and displayed on the display unit 120 as a screen. As a result, the display of the currently selected line 801 is moved, and a new character line to be recognized is selected and displayed. When the up button is pressed, the line immediately above the currently selected line is set as the next currently selected line, and when the down button is pressed, the line immediately below the currently selected line is set as the next currently selected line.
[0024]
The user operates the buttons so that the character line to be recognized becomes the currently selected line (step 205), and presses the recognition execution button 131 to determine the character line to be recognized (step 206). When the user performs a character line recognition operation from the image data acquired from the camera, the initial position of the currently selected line 801 is assumed to be closest to the center of the image among the character lines 601 to 606 on the display unit 120. It is desirable to display.
[0025]
FIG. 9 is a diagram illustrating character recognition of a character line and explaining collation with a notation dictionary.
In step 207, the recognition target character line 900 selected in step 205 and determined in step 206 is cut out character by character. In step 208, character recognition processing for each character is executed to generate a character recognition network 910. The character recognition network 910 is a character representation candidate character represented in a network and stored in a memory. The character recognition network 910 includes incorrect character identification candidate characters (such as “|” and “/” in the drawing) and unnecessary character strings (“T”, “e”, and “direct” in the drawing) before and after the recognition target character string. Etc.) may be included. Therefore, collation between the character recognition network 910 and a notation dictionary provided in advance is performed (step 209 in FIG. 2), and a character string where the notation and collation match is extracted, so that a correct recognition result can be easily and easily shortened. It can be obtained with time-consuming processing.
[0026]
FIG. 9 shows an example in which a plurality of phone number notation patterns are stored in advance as the notation dictionary 920. The notation dictionary is compared with the extracted character string, and the phone number that matches one of the notation 921 is shown. An example in which only a portion is extracted as a recognition result character string is also shown. The finally recognized recognition result 930 is stored in a memory in the control unit 140 or the like of the portable terminal, and is displayed on the display unit 120, and the text-based editing of characters is performed in accordance with the content that the user subsequently operates. Is possible.
[0027]
The feature of the first embodiment described above is that when a user takes an image with the image input unit 110, a character line (part of the image information) included in the image information is automatically recognized by the portable terminal 100, A great feature is that the user can select a desired character line by selecting a button operation on the operation unit 130 by being displayed on the display unit 120 as a frame 801 as shown in FIG. Further, in the character line, a necessary part, for example, only the telephone number in FIG. 9 is automatically recognized by using the notation dictionary 920 and the like (Tel: (direct) part) is not recognized. It is a feature.
[0028]
FIG. 10 is a diagram for explaining the processing procedure of the second embodiment according to the present invention. Note that steps having the same reference numerals in FIG. 10 as those in FIG. 2 have the same functions, and thus description thereof will be omitted.
[0029]
In the second embodiment, after the above-described image binarization (S202) and connected component extraction (S203) are performed, the word is determined by comparing the size of the circumscribed rectangle of the extracted connected component and the distance between the circumscribed rectangles. Is extracted (step 1004). Subsequently, in step 1005, the user selects a word to be a character recognition target in the image by operating a button on the operation unit 130.
[0030]
FIG. 11 is a diagram for explaining the process of extracting character lines and words and calculating word coordinates in step 1004.
The one-line extraction area 1100 shown in the figure is a part of an image showing one of the character line ranges calculated by the same method as in step 302, and this one-line extraction area 1100 is a plurality of circumscribed parts of connected components. Rectangles 1101-1108 are included. These circumscribed rectangles indicate circumscribed rectangles of character components, specifically, one character unit. The sizes of these circumscribed rectangles and the distances between the circumscribed rectangles are compared, and rectangles having the same size or rectangles close to each other are merged in the horizontal direction. When the rectangles are merged, the principle that the distance between the words is larger than the distance between the characters in the word is used.
[0031]
Subsequently, the word 1110 is obtained by calculating the word upper left coordinate 1111 and the word lower right coordinate 1112 by fusing the circumscribed rectangles 1101 to 1104. Similarly, a word 1120 is obtained by calculating a word upper left coordinate 1121 and a word lower right 1122 by fusing the circumscribed rectangles 1105 to 1108. As will be apparent from the example described later, the units 1110 and 1120 shown in the figure indicate word units, and the units 1101 to 1108 indicate character units.
[0032]
FIG. 12 is a diagram for explaining a word extraction result. As is clear from the above, the word extraction area 1200 indicates an image input by the image input unit 110, and a plurality of words 1201 are included in this area. Among these, the words 1202 to 1204 are examples of words included in the word extraction area 1200. Based on the X axis and the Y axis shown in FIG. 12 and a certain reference point, as shown in FIG. The upper left coordinates and lower right coordinates 1204 are expanded on the X axis and the Y axis and stored in the word table 1300 on the memory.
[0033]
FIG. 14 is a diagram for explaining a display example of screen transition of the display unit 120 at the time of the word selection operation in step 1005.
A word selection screen 1400 and a currently selected word 1401 are displayed on the display unit 120. The currently selected word 1401 is one of the words extracted in step 1004. The currently selected word 1401 should be surrounded by a frame as shown in the figure and further highlighted (red, green, etc.). desirable. The same applies to the currently selected row 801 described above.
[0034]
The user presses the upper button 132, the right button 133, the lower button 134, and the left button 135 of the operation unit 130 while viewing the image 1400 displayed on the display unit 120 and the display of the frame 1401, thereby the control unit 140. Is detected, the reference pointer of the word table 1300 shown in FIG. 13 is incremented or decremented, and the upper left and lower right coordinates of the word are read and displayed on the screen of the display unit 120.
[0035]
As a result, the display of the currently selected word 1401 is moved, and a new word to be recognized is selected and displayed. When the up button is pressed, a word having the closest coordinate value from the currently selected word among the words included in the line immediately above the currently selected word may be set as the next currently selected word. Or it is good also considering the word with the most overlapping part of the horizontal direction among the words contained in the line one line above the present selection word as the next present selection word. Even when the down button is pressed, the next currently selected word is determined by the same method. When the left button is pressed, the word to the left of the currently selected word is the next currently selected word, and when the right button is pressed, the word to the right of the currently selected word is the next currently selected word.
[0036]
As described above, according to the second embodiment, the user operates the buttons of the operation unit 130 so that the word to be recognized becomes the currently selected word among the images displayed on the display unit 120, and the recognition is performed. By depressing the execution button 131, a word to be recognized can be determined, and character recognition processing for the recognition target word can be executed.
[0037]
Next, a third embodiment will be described. The first and second embodiments automatically extract and recognize character lines or words from an image in the portable terminal 100, whereas the following will be described. In the example, the user himself / herself selects a specific position of the image and performs recognition based on the position, which is advantageous in terms of providing an inexpensive and simple apparatus compared to the first and second embodiments. is there.
[0038]
FIG. 15 is a diagram for explaining the processing procedure of the third embodiment according to the present invention. Note that the steps in FIG. 15 having the same reference numerals as those in FIG. 2 have the same functions, and thus the description thereof is omitted here.
[0039]
In step 1504, a character line included in a partial area of the acquired image is extracted. FIG. 16 is a diagram for explaining extraction of a character line inside a partial area. The display unit 120 displays a recognition target image 1600 acquired from the image input unit 110 and a cursor 1601 provided in advance on the mobile terminal 100. In this recognition target image 1600, a character line is extracted by a process similar to that in the above embodiment within a certain region 1603 centered on the cursor 1601, and the closest to the cursor among the extracted character lines. The control unit 140 executes processing for setting the character line to the currently selected character line 1602.
[0040]
As a result, the user moves the cursor 1601 displayed on the display unit 120 by a certain distance up, down, left, and right by a button operation on the operation unit 130 (step 1505), and the character line is again centered on the moved cursor position. Extraction processing is performed, and the character line closest to the cursor 1601 is set as the currently selected character line.
[0041]
Then, after the user finishes selecting the character line to be recognized, the user presses the recognition execution button 131 to determine the character line to be recognized, and proceeds to the next step.
[0042]
In this embodiment, the character recognition is executed after selecting the character line image or the character string image. However, the character line image or the character string image selected by the user by performing the character recognition of each image included in the image beforehand. The recognition result corresponding to 1 may be the recognition result of the character recognition target, and the character line in the above example may be read as a character string.
[0043]
In addition, the configurations, controls, processes, and the like of the first to third embodiments described above can be combined in an optimal form. For example, for the character line extracted and recognized by the control unit in the first embodiment, By specifying with the cursor displayed in the third embodiment, the form of the word (second embodiment) of the part specified by the cursor in the character line may be recognized.
[0044]
In addition, whether the character line recognition mode or the word recognition mode is set in advance on the display unit so that the control unit on the portable terminal can easily determine the character line selection of the first embodiment and the word selection of the second embodiment. This is a mode in which one of the processes in the first or second embodiment described above is controlled by displaying on the menu screen and recognizing which mode the user determines with the operation unit by the control unit. May be.
[0045]
【The invention's effect】
As described above, it is possible to select a recognition target for an image acquired from the input unit of the mobile terminal by looking only at the image display on the display unit. Further, even when the image is shot in a state where the display unit cannot be looked into, the recognition target can be selected while viewing the image displayed on the display unit after shooting. Even if there is a camera shake at the time of image capturing, the position of the recognition target can be changed after image capturing within the range of the acquired image. Further, by repeating the operation of selecting a recognition target again for the same image, a plurality of locations of the same image can be recognized.
[Brief description of the drawings]
FIG. 1 shows a detailed configuration diagram of a mobile terminal.
FIG. 2 is a flowchart of a character recognition method according to the first embodiment.
FIG. 3 is a flowchart for explaining character line extraction processing according to the first embodiment;
FIG. 4 is a diagram for explaining a projected distribution of character line extraction according to the first embodiment.
FIG. 5 is a diagram for explaining a method of calculating coordinates of a character line according to the first embodiment.
FIG. 6 is a diagram illustrating an example of a character line extraction result according to the first embodiment.
FIG. 7 is a diagram illustrating a character line table according to the first embodiment.
FIG. 8 is a diagram illustrating an example of screen transition in the display unit when a character line is selected according to the first embodiment.
FIG. 9 is a diagram for explaining character recognition in a character line according to the first embodiment.
FIG. 10 is a flowchart of processing of a character recognition method according to a second embodiment.
FIG. 11 is a diagram illustrating a method for calculating word coordinates according to the second embodiment.
FIG. 12 is a diagram for explaining an example of a word extraction result according to the second embodiment.
FIG. 13 is a diagram for explaining a word table according to the second embodiment.
FIG. 14 is a diagram illustrating an example of screen transition on the display unit when a word is selected according to the second embodiment.
FIG. 15 is a flowchart of character recognition processing for explaining the third embodiment;
FIG. 16 is a diagram illustrating a screen selection operation and an image recognition area of a display unit according to the third embodiment.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 100 ... Portable information terminal (mobile terminal), 110 ... Image input part, 120 ... Display part, 130 ... Operation part, 140 ... Control part, 150 ... Character recognition part

Claims (9)

An image input unit that captures or acquires or inputs an image, a display unit that displays image data from the image input unit, an operation unit that can perform an input operation, and a character recognition unit that recognizes characters included in the image data And a portable information terminal having a control unit for controlling each unit,
The control unit automatically extracts a character string, a character line, or a word from the image data from the image input unit, and the image content extracted together with the image data on the display unit as a character string, a character line, or a word. A portable information terminal that displays and recognizes a specific character string, character line, or word displayed on the display unit by a selection operation from the operation unit. The character recognition unit has a dictionary for storing a plurality of different notation information,
2. The portable information terminal according to claim 1, wherein the control unit recognizes only a specific image of the character string or the character line by comparing with the notation information of the dictionary among the extracted character string or the character line. The control unit performs a fusion process for obtaining a plurality of circumscribed rectangles of each character included in the image data and connecting the plurality of circumscribed rectangles for the character string or character line to be extracted. The portable information terminal according to claim 1 or 2. 4. The character string, character line, or word displayed by the display unit is displayed so as to be surrounded by a frame or highlighted with respect to the image data displayed together. The portable information terminal described. An image input unit that captures or acquires or inputs an image, a display unit that displays image data from the image input unit, an operation unit that can perform an input operation, and a character recognition unit that recognizes characters included in the image data And a portable information terminal having a control unit for controlling each unit,
The control unit displays a cursor together with the image data displayed on the display unit, and extracts and extracts an image of a specific area including a position designated by the operation and selection of the cursor from the operation unit. A portable information terminal, wherein a character string, a character line, or a word included in an image of a specific area is extracted and displayed on the display unit. An input unit for inputting an image, a display unit for displaying image data input by the input unit, an operation unit operated by a user, a character recognition unit for recognizing characters in the image, and a control for controlling each unit In a portable information terminal or mobile phone equipped with a
A character string image or a character line image on the image is extracted after shooting by the input unit, and a character string image or a character line image to be recognized by an operation of the operation unit is extracted from the extracted character string image or character line image. A character recognition method comprising: selecting and recognizing characters inside a selected character string image or character line image. 7. The character recognition method according to claim 6, wherein a character string to be recognized is extracted by collating a character recognition result with a notation dictionary after the character recognition unit recognizes the character string image or the character line image. Character recognition method. 8. The character recognition method according to claim 6, wherein the control unit cuts out a word from the character string image or the character line image after extracting the character string image or the character line image, and performs the operation from the cut out word. A character recognition method, comprising: selecting a word to be recognized by an operation of a unit; and recognizing the selected word. 9. The character recognition method according to claim 6, wherein the control unit extracts a character string image or a character line image, performs character recognition in the character string image or the character line image in advance by the character recognition unit, and performs the operation. A character recognition method in which a recognition result corresponding to a character string image or a character line image selected by operation of a section is a final result.

Images