CN105468921A - Overview drawing generation method of digestive tract endoscope video - Google Patents
Overview drawing generation method of digestive tract endoscope video Download PDFInfo
- Publication number
- CN105468921A CN105468921A CN201510894392.5A CN201510894392A CN105468921A CN 105468921 A CN105468921 A CN 105468921A CN 201510894392 A CN201510894392 A CN 201510894392A CN 105468921 A CN105468921 A CN 105468921A
- Authority
- CN
- China
- Prior art keywords
- rectangle
- colourity
- luminance
- picture
- rotation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G06F19/321—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/60—Rotation of a whole image or part thereof
Abstract
The invention provides an overview drawing generation method of a digestive tract endoscope video. The overview generation method comprises the following steps: after an image is rotated for multiple times, independently determining an optimal chromaticity rotation angle and an optimal luminance rotation angle of the image on a chromaticity component and a luminance component; then, selecting a most appropriate angle to rotate the image from the optimal chromaticity rotation angle and the optimal luminance rotation angle; and finally, vertically cutting pixel columns from each frame of image rotated according to the angle along an image center line to carry out combination to generate an overview drawing. Through the above way, the overview drawing generation method can accurately display the whole situation of the digestive tract, can improve the display range of the visual area of the digestive track, improves the diagnosis efficiency of a doctor on the digestive tract endoscope video, and reduces the missed diagnosis of the visual area of the digestive tract.
Description
Technical field
The present invention relates to technical field of image processing, what particularly relate to a kind of alimentary canal capsule endoscope video scans drawing generating method.
Background technology
Capsule endoscope inspection is a line technology of current disease of digestive tract checkout and diagnosis.Capsule endoscope is a kind of micro-camera device for taking human body alimentary canal of capsule shape.Patient is from this capsule endoscope of swallowing to excreting, and capsule endoscope works about 8 hours and takes about 50000 two field pictures in human body.The major defect of capsule endoscope inspection is: every part of video packets is containing a large amount of images, and often open image and all will carry out hand inspection by doctor, not only expend time in length, and labour intensity is large, and doctor's fatigue easily causes afterwards and fails to pinpoint a disease in diagnosis.Therefore, adopt computing machine to carry out process to capsule endoscope video to carry out auxiliary diagnosis and have the market demand widely.
The Computer Analysis technology of existing capsule endoscope video mainly vertically cuts a pixel column and to be spliced overview from every two field picture center, the advantage of overview to allow doctor from the gastral integral status holding rapidly patient, but the shortcoming of overview also clearly, exactly because the direction that cuts of pixel column is fixed, if mix the not visible regions such as slag containing food in video image, pixel column cuts to be mixed on slag at food, just can not accurately show gastral integral status, easily cause and fail to pinpoint a disease in diagnosis.
Summary of the invention
What the technical matters that the present invention mainly solves was to provide a kind of alimentary canal capsule endoscope video scans drawing generating method, can accurately show gastral integral status.
For solving the problems of the technologies described above, the technical scheme that the present invention adopts is: what provide a kind of alimentary canal capsule endoscope video scans drawing generating method, comprise: S1: after each two field picture of video is transformed to hsv color space, each two field picture is carried out repeatedly the rotation of unit angle around image center, wherein, described repeatedly unit angle sum is 180 degree; S2: along picture centre line, rectangle colourity image block is vertically cut to each two field picture and each postrotational image thereof on colourity H component, and to rectangle colourity image block carry out mean filter obtain chroma pixel row, and along picture centre line, rectangle luminance picture block is vertically cut to each two field picture and each postrotational image thereof on brightness V component, and to rectangle luminance picture block carry out mean filter obtain luminance pixel row; S3: calculate colourity saliency value according to variance yields, average and kurtosis value that each chroma pixel of each two field picture arranges, and using the anglec of rotation corresponding for minimal color saliency value as the best colourity anglec of rotation, and calculate brightness saliency value according to variance yields, average and the kurtosis value that each luminance pixel of each two field picture arranges, and using the anglec of rotation corresponding for minimum brightness saliency value as the optimal brightness anglec of rotation; S4: each two field picture is rotated according to the best colourity anglec of rotation, the first rectangular image block is vertically cut after rotation along picture centre line, and calculate the first difference value of the first rectangular image block on the chroma components, and each two field picture is rotated according to the optimal brightness anglec of rotation, vertically cut the second rectangular image block along picture centre line after rotation, and calculate the second difference value of the second rectangular image block on the chroma components; S5: the first difference value of each two field picture and the second difference value are compared, and add up the first difference value and be greater than the second frame number that the first frame number of the image of the second difference value and the second difference value be greater than the image of the first difference value; S6: if the first frame number is more than the second frame number, rotates each two field picture according to the best colourity anglec of rotation, if the second frame number is more than the first frame number, is rotated by each two field picture according to the optimal brightness anglec of rotation; S7: vertically cut pixel column along picture centre line after each two field picture rotates, carries out merging and generates overview by the pixel column of each two field picture.
Preferably, described unit angle is 5-15 degree.
Preferably, the height of described rectangle colourity image block and rectangle luminance picture block is the height of image, and the width of described rectangle colourity image block and rectangle luminance picture block is 9 or 11 pixel wide.
Preferably, when carrying out mean filter, the size of filter window is identical with the width of rectangle colourity image block or rectangle luminance picture block.
Preferably, described to rectangle colourity image block carry out mean filter obtain chroma pixel row step be specially: to every one-row pixels of rectangle colourity image block get mean operation obtain chroma pixel row; Described to rectangle luminance picture block carry out mean filter obtain chroma pixel row step be specially: to every one-row pixels of rectangle luminance picture block get mean operation obtain luminance pixel row.
Preferably, the calculating formula of described colourity saliency value and brightness saliency value is:
Wherein, c is chroma pixel row or luminance pixel row, the variance yields that σ (c) arranges for chroma pixel row or luminance pixel, the average that μ (c) arranges for chroma pixel row or luminance pixel, the kurtosis value that κ (c) arranges for chroma pixel row or luminance pixel, sinh () is hyperbolic sine function.
Preferably, the described step calculating the first difference value of the first rectangular image block is on the chroma components specially: the first Euclidean distance calculating the chroma histogram of first rectangular image block the first half and the latter half, is quantified as the first difference value by the first Euclidean distance; The described step calculating the second difference value of the second rectangular image block is on the chroma components specially: the second Euclidean distance calculating the chroma histogram of second rectangular image block the first half and the latter half, is quantified as the second difference value by the second Euclidean distance.
Preferably, before step S1, also comprise: video is carried out segmentation according to time sequencing.
Be different from the situation of prior art, the invention has the beneficial effects as follows: the indication range that can improve the alimentary canal such as enteric cavity, gastrointestinal mucosa viewing area, improve doctor to the diagnosis efficiency of alimentary canal capsule endoscope video, reduce failing to pinpoint a disease in diagnosis of alimentary canal viewing area.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet scanning drawing generating method of embodiment of the present invention alimentary canal capsule endoscope video.
Fig. 2 is that the drawing generating method of scanning of the application embodiment of the present invention obtains the schematic diagram that chroma pixel arranges or luminance pixel arranges.
Fig. 3 is that the drawing generating method of scanning of the application embodiment of the present invention cuts pixel column and applies the contrast schematic diagram that prior art cuts pixel column.
Fig. 4 is the contrast schematic diagram that the overview of the application embodiment of the present invention generates that methods and applications prior art generates overview to the image pattern of the enteron aisle containing swill.
Fig. 5 is the contrast schematic diagram that the overview of the application embodiment of the present invention generates that methods and applications prior art generates overview to the image pattern of normal bowel.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only a part of embodiment of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
See Fig. 1, it is the schematic flow sheet scanning drawing generating method of embodiment of the present invention alimentary canal capsule endoscope video.The drawing generating method of scanning of the present embodiment comprises the following steps:
S1: after each two field picture of video is transformed to hsv color space, each two field picture is carried out repeatedly the rotation of unit angle around image center, wherein, repeatedly unit angle sum is 180 degree.
Wherein, the image of capsule endoscope video is rgb space image, and after transforming to hsv color space, the image of capsule endoscope video becomes HSV space image.Hsv color space has three components, is colourity H, saturation degree S, brightness V component respectively.
Image center is the geometric center of image, and image is after multiple rotary, and because repeatedly unit angle sum is 180 degree, image just have rotated 180 degree from 0 degree.Alternatively, unit angle is 5-15 degree.Be 10 degree for unit angle, image rotates 10 degree at every turn, so needs rotation 17 times.
In the present embodiment, before step S1, also comprise: video is carried out segmentation according to time sequencing.Consider that capsule endoscope video contains the image of magnanimity, the so many images of single treatment may require higher for computing machine, and the present embodiment carries out segmentation according to time sequencing, using every section of video as the data of single treatment by just video.
S2: along picture centre line, rectangle colourity image block is vertically cut on the chroma components to each two field picture and each postrotational image thereof, and to rectangle colourity image block carry out mean filter obtain chroma pixel row, and along picture centre line, rectangle luminance picture block is vertically cut to each two field picture and each postrotational image thereof on luminance component, and to rectangle luminance picture block carry out mean filter obtain luminance pixel row.
Wherein, chroma pixel row and luminance pixel row can obtain in step s 2 simultaneously, also can successively obtain in step s 2.For each two field picture and each postrotational image thereof, by isolating colourity H and brightness V two components respectively, cutting rectangle colourity image block on the chroma components respectively and on luminance component, cutting rectangle luminance picture block.As shown in Fig. 2 (a), the image in figure (a) represents enteron aisle, and this image, after over-rotation, has vertically cut rectangle colourity image block or rectangle luminance picture block (see lines rectangle frame white in figure Suo Shi) along picture centre line.
Least unit due to image is pixel, therefore each row and column of rectangle colourity image block and rectangle luminance picture block form by pixel, alternatively, the height of rectangle colourity image block and rectangle luminance picture block is the height of image, and the width of rectangle colourity image block and rectangle luminance picture block can be 9 or 11 pixel wide.
Chroma pixel row and luminance pixel row can be obtained by carrying out mean filter on pixel level.In the present embodiment, to rectangle colourity image block carry out mean filter obtain chroma pixel row step be specially: to every one-row pixels of rectangle colourity image block get mean operation obtain chroma pixel row.To rectangle luminance picture block carry out mean filter obtain chroma pixel row step be specially: to every one-row pixels of rectangle luminance picture block get mean operation obtain luminance pixel row.Alternatively, when carrying out mean filter, the size of filter window is identical with the width of rectangle colourity image block or rectangle luminance picture block.As shown in Fig. 2 (b), rectangle frame in figure (b) represents rectangle colourity image block or rectangle luminance picture block, can obtain a row pixel (see right vertical line in figure) by averaging to the every one-row pixels of rectangle frame, this row pixel is chroma pixel row or luminance pixel row.
S3: calculate colourity saliency value according to variance yields, average and kurtosis value that each chroma pixel of each two field picture arranges, and using the anglec of rotation corresponding for minimal color saliency value as the best colourity anglec of rotation, and calculate brightness saliency value according to variance yields, average and the kurtosis value that each luminance pixel of each two field picture arranges, and using the anglec of rotation corresponding for minimum brightness saliency value as the optimal brightness anglec of rotation.
Wherein, colourity saliency value and brightness saliency value can obtain in step s3 simultaneously, also can successively obtain in step s3.
In the present embodiment, the calculating formula of colourity saliency value and brightness saliency value is:
In this calculating formula, c is chroma pixel row or luminance pixel row, the variance yields that σ (c) arranges for chroma pixel row or luminance pixel, the average that μ (c) arranges for chroma pixel row or luminance pixel, the kurtosis value that κ (c) arranges for chroma pixel row or luminance pixel, sinh () is hyperbolic sine function.That is, if c is chroma pixel row, then what obtain is colourity saliency value; If c is luminance pixel row, then what obtain is brightness saliency value.
Because each two field picture will rotate repeatedly, each two field picture and postrotational image thereof have corresponding chroma pixel row and luminance pixel row, so each two field picture just has multiple chroma pixel to arrange and multiple luminance pixel row, after being calculated by this calculating formula, each two field picture just has multiple colourity saliency value and multiple brightness saliency value, wherein, minimal color saliency value and minimum brightness saliency value represent that the picture material that corresponding rectangle colourity image block and rectangle luminance picture block contain is the abundantest, that is, rectangle colourity image block and rectangle luminance picture block may include enteric cavity simultaneously, the regions such as intestinal mucosa, so, minimal color saliency value and the anglec of rotation corresponding to minimum brightness saliency value are just the best colourity anglec of rotation and the optimal brightness anglec of rotation.Should be noted that, the best colourity anglec of rotation and the optimal brightness anglec of rotation are the multiple of unit angle, suppose that unit angle is 10 degree, and minimal color saliency value is obtain after image rotation 3 times, the anglec of rotation that so minimal color saliency value is corresponding is 60 degree, is 6 times of unit angle.
S4: each two field picture is rotated according to the best colourity anglec of rotation, the first rectangular image block is vertically cut after rotation along picture centre line, and calculate the first difference value of the first rectangular image block on the chroma components, and each two field picture is rotated according to the optimal brightness anglec of rotation, vertically cut the second rectangular image block along picture centre line after rotation, and calculate the second difference value of the second rectangular image block on the chroma components.
Wherein, although each two field picture rotates according to the best colourity anglec of rotation and the optimal brightness anglec of rotation respectively, be all calculate on the chroma components when the first difference value and the second difference value.First difference value and the second difference value can obtain in step s3 simultaneously, also can successively obtain in step s3.
In the present embodiment, the step calculating the first difference value of the first rectangular image block is on the chroma components specially: the first Euclidean distance calculating the chroma histogram of first rectangular image block the first half and the latter half, is quantified as the first difference value by the first Euclidean distance; The step calculating the second difference value of the second rectangular image block is on the chroma components specially: the second Euclidean distance calculating the chroma histogram of second rectangular image block the first half and the latter half, is quantified as the second difference value by the second Euclidean distance.Because Euclidean distance is larger, the vision difference of image is larger, and therefore the difference value of image is larger.By the first Euclidean distance and the second Euclidean distance being quantized, the first difference value and the second difference value can be obtained.
S5: the first difference value of each two field picture and the second difference value are compared, and add up the first difference value and be greater than the second frame number that the first frame number of the image of the second difference value and the second difference value be greater than the image of the first difference value.
Wherein, the first difference value is greater than the second difference value, and represent employing preferably best colourity anglec of rotation image rotating, the first difference value is less than the second difference value, represents employing optimal brightness anglec of rotation image rotating preferably.
S6: if the first frame number is more than the second frame number, rotates each two field picture according to the best colourity anglec of rotation, if the second frame number is more than the first frame number, is rotated by each two field picture according to the optimal brightness anglec of rotation.
Wherein, by adding up the first frame number and the second frame number, the image that can react video on the whole should adopt the best colourity anglec of rotation to carry out rotation the optimal brightness anglec of rotation still should be adopted to rotate.
S7: vertically cut pixel column along picture centre line after each two field picture rotates, carries out merging and generates overview by the pixel column of each two field picture.
Wherein, after the best colourity anglec of rotation or the optimal brightness anglec of rotation are determined, because each two field picture rotates according to the optimal brightness anglec of rotation, the content representated by the pixel column cut after rotation is just more satisfactory.Represent that application prior art cuts the schematic diagram of pixel column see (a) in Fig. 3, figure, as seen from the figure, the pixel column (in figure white lines) that application prior art cuts all drops on intestinal mucosa, and does not contain enteric cavity; And in figure (b) represent application the embodiment of the present invention scan the schematic diagram that drawing generating method cuts pixel column, as seen from the figure, the pixel column (in figure white lines) that drawing generating method cuts of scanning applying the embodiment of the present invention all contains enteric cavity and intestinal mucosa all the time.
Overview can reflect the integral status of alimentary canal tens to several ten thousand images, no matter generating overview after step S7 is for mixing the enteron aisle image of slag or normal enteron aisle image containing food, can both accurately show gastral integral status, namely clearly can show the size in region shared by the enteric cavity of enteron aisle and enteric cavity.See Fig. 4, in figure, (a) is one group of image pattern containing the enteron aisle of swill, in figure, (b) is the overview that application prior art generates, and as seen from the figure, this overview cannot demonstrate the intestinal mucosa region do not occupied by swill; In figure, (c) is the overview of scanning drawing generating method generation of the application embodiment of the present invention, as seen from the figure, this overview can demonstrate the intestinal mucosa region do not occupied by swill, and this intestinal mucosa region concentrates on the lower zone of overview.
Further, be the image pattern of one group of normal bowel see (a) in Fig. 5, figure, in figure, (b) is the overview that application prior art generates, and as seen from the figure, this overview cannot show enteron aisle and contain enteric cavity; In figure, (c) is the overview of scanning drawing generating method generation of the application embodiment of the present invention, as seen from the figure, this overview not only can show enteron aisle and contain enteric cavity, and can also clearly illustrate the size in enteric cavity shared region in enteron aisle, this enteric cavity is formed in the zone line of overview.
By the way, the alimentary canal capsule endoscope video of the embodiment of the present invention scan drawing generating method by after image is carried out multiple rotary, colourity and luminance component are determined the best colourity anglec of rotation and the optimal brightness anglec of rotation of image respectively, then from the best colourity anglec of rotation and the optimal brightness anglec of rotation, most suitable angle is selected to rotate to image, finally carry out merging generation overview from vertically cutting pixel column according to the postrotational every two field picture of this angle along picture centre line, thus can accurately show gastral integral status, and the overview obtained can improve enteric cavity, the indication range of the alimentary canal viewing areas such as gastrointestinal mucosa, improve doctor to the diagnosis efficiency of alimentary canal capsule endoscope video, reduce failing to pinpoint a disease in diagnosis of alimentary canal viewing area.
The foregoing is only embodiments of the invention; not thereby the scope of the claims of the present invention is limited; every utilize instructions of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (8)
1. alimentary canal capsule endoscope video scan a drawing generating method, it is characterized in that, comprising:
S1: after each two field picture of video is transformed to hsv color space, each two field picture is carried out repeatedly the rotation of unit angle around image center, wherein, described repeatedly unit angle sum is 180 degree;
S2: along picture centre line, rectangle colourity image block is vertically cut to each two field picture and each postrotational image thereof on colourity H component, and to rectangle colourity image block carry out mean filter obtain chroma pixel row, and along picture centre line, rectangle luminance picture block is vertically cut to each two field picture and each postrotational image thereof on brightness V component, and to rectangle luminance picture block carry out mean filter obtain luminance pixel row;
S3: calculate colourity saliency value according to variance yields, average and kurtosis value that each chroma pixel of each two field picture arranges, and using the anglec of rotation corresponding for minimal color saliency value as the best colourity anglec of rotation, and calculate brightness saliency value according to variance yields, average and the kurtosis value that each luminance pixel of each two field picture arranges, and using the anglec of rotation corresponding for minimum brightness saliency value as the optimal brightness anglec of rotation;
S4: each two field picture is rotated according to the best colourity anglec of rotation, the first rectangular image block is vertically cut after rotation along picture centre line, and calculate the first difference value of the first rectangular image block on the chroma components, and each two field picture is rotated according to the optimal brightness anglec of rotation, vertically cut the second rectangular image block along picture centre line after rotation, and calculate the second difference value of the second rectangular image block on the chroma components;
S5: the first difference value of each two field picture and the second difference value are compared, and add up the first difference value and be greater than the second frame number that the first frame number of the image of the second difference value and the second difference value be greater than the image of the first difference value;
S6: if the first frame number is more than the second frame number, rotates each two field picture according to the best colourity anglec of rotation, if the second frame number is more than the first frame number, is rotated by each two field picture according to the optimal brightness anglec of rotation;
S7: vertically cut pixel column along picture centre line after each two field picture rotates, carries out merging and generates overview by the pixel column of each two field picture.
2. alimentary canal capsule endoscope video according to claim 1 scan drawing generating method, it is characterized in that, described unit angle is 5-15 degree.
3. alimentary canal capsule endoscope video according to claim 1 scan drawing generating method, it is characterized in that, the height of described rectangle colourity image block and rectangle luminance picture block is the height of image, and the width of described rectangle colourity image block and rectangle luminance picture block is 9 or 11 pixel wide.
4. alimentary canal capsule endoscope video according to claim 3 scan drawing generating method, it is characterized in that, when carrying out mean filter, the size of filter window is identical with the width of rectangle colourity image block or rectangle luminance picture block.
5. alimentary canal capsule endoscope video according to claim 4 scan drawing generating method, it is characterized in that, described to rectangle colourity image block carry out mean filter obtain chroma pixel row step be specially:
Mean operation is got to every one-row pixels of rectangle colourity image block and obtains chroma pixel row;
Described to rectangle luminance picture block carry out mean filter obtain chroma pixel row step be specially:
Mean operation is got to every one-row pixels of rectangle luminance picture block and obtains luminance pixel row.
6. alimentary canal capsule endoscope video according to claim 1 scan drawing generating method, it is characterized in that, the calculating formula of described colourity saliency value and brightness saliency value is:
Wherein, c is chroma pixel row or luminance pixel row, the variance yields that σ (c) arranges for chroma pixel row or luminance pixel, the average that μ (c) arranges for chroma pixel row or luminance pixel, the kurtosis value that κ (c) arranges for chroma pixel row or luminance pixel, sinh () is hyperbolic sine function.
7. alimentary canal capsule endoscope video according to claim 1 scan drawing generating method, it is characterized in that, the described step calculating the first difference value of the first rectangular image block is on the chroma components specially:
Calculate the first Euclidean distance of the chroma histogram of first rectangular image block the first half and the latter half, the first Euclidean distance is quantified as the first difference value;
The described step calculating the second difference value of the second rectangular image block is on the chroma components specially:
Calculate the second Euclidean distance of the chroma histogram of second rectangular image block the first half and the latter half, the second Euclidean distance is quantified as the second difference value.
8. alimentary canal capsule endoscope video according to claim 1 scan drawing generating method, it is characterized in that, before step S1, also comprise:
Video is carried out segmentation according to time sequencing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510894392.5A CN105468921B (en) | 2015-12-08 | 2015-12-08 | Alimentary canal capsule endoscope video scans drawing generating method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510894392.5A CN105468921B (en) | 2015-12-08 | 2015-12-08 | Alimentary canal capsule endoscope video scans drawing generating method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105468921A true CN105468921A (en) | 2016-04-06 |
| CN105468921B CN105468921B (en) | 2018-01-23 |
Family
ID=55606612
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510894392.5A Expired - Fee Related CN105468921B (en) | 2015-12-08 | 2015-12-08 | Alimentary canal capsule endoscope video scans drawing generating method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105468921B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0260883A2 (en) * | 1986-09-12 | 1988-03-23 | International Business Machines Corporation | Method for rotating an image |
| CN102419793A (en) * | 2010-09-28 | 2012-04-18 | 富士胶片株式会社 | Image processing apparatus and method, computer executable program, and radiation imaging system |
| US20150348229A1 (en) * | 2014-05-28 | 2015-12-03 | EchoPixel, Inc. | Image annotation using a haptic plane |
-
2015
- 2015-12-08 CN CN201510894392.5A patent/CN105468921B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0260883A2 (en) * | 1986-09-12 | 1988-03-23 | International Business Machines Corporation | Method for rotating an image |
| CN102419793A (en) * | 2010-09-28 | 2012-04-18 | 富士胶片株式会社 | Image processing apparatus and method, computer executable program, and radiation imaging system |
| US20150348229A1 (en) * | 2014-05-28 | 2015-12-03 | EchoPixel, Inc. | Image annotation using a haptic plane |
Non-Patent Citations (2)
| Title |
|---|
| 付延安: "无线胶囊内窥镜图像处理技术研究", 《中国博士学位论文全文数据库》 * |
| 岳泉: "内窥镜影像系统设计及图像处理的研究", 《中国优秀硕士学位论文全文数据库》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105468921B (en) | 2018-01-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US5982953A (en) | Image displaying apparatus of a processed image from temporally sequential images | |
| CN106056537B (en) | A kind of medical image joining method and device | |
| CN106530994B (en) | A kind of method and display device for eliminating display figure coloured silk side | |
| CN100346748C (en) | Image processing device and image processing method | |
| US20010002934A1 (en) | Image display method and image display apparatus | |
| US7324660B2 (en) | Image position matching apparatus and image processing apparatus | |
| US20150334276A1 (en) | System and method for displaying an image stream | |
| CN104350742B (en) | For showing the system and method for image stream | |
| CN103198501A (en) | Tooth panoramic picture automatic reconstruction method | |
| EP2286714A3 (en) | Detection of endoscope inserting direction | |
| CN103561655B (en) | Medical diagnostic imaging apparatus, medical image-processing apparatus and method | |
| US20110160534A1 (en) | Endoscopic navigation method and endoscopic navigation system | |
| CN110267033B (en) | Spliced flat panel detector and splicing method thereof, imaging system and imaging method thereof | |
| US20160004927A1 (en) | Visual matching assist apparatus and method of controlling same | |
| US20180365830A1 (en) | Image processing apparatus, image processing method, and computer readable recording medium | |
| CN110415223B (en) | No-reference spliced image quality evaluation method and system | |
| JP2020528302A (en) | How to display 3D ultrasound image | |
| CN106780587A (en) | A kind of characteristics of human body's labeling method based on colour recognition | |
| US20100080438A1 (en) | Radiation image diagnosing system | |
| JP2008020369A (en) | Image analysis means, image analysis device, inspection device, image analysis program and computer-readable recording medium | |
| TW201033982A (en) | Displaying method of active matrix display | |
| CN105468921A (en) | Overview drawing generation method of digestive tract endoscope video | |
| CN105701833B (en) | Alimentary canal capsule endoscope video hookworm image computer automatic testing method | |
| EP1528528A2 (en) | Image display system and method | |
| CN104287759B (en) | CT scan imaging method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180123 Termination date: 20181208 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |