Method and device for representing contour feature of target image
A target image and contour feature technology, applied in the field of computer vision and pattern recognition, can solve the problems of large amount of calculation, affecting the speed of target image detection and recognition, and many dimensions, and achieve the effect of reducing the amount of calculation.
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Example Embodiment
[0030] Example one:
[0031] figure 1 The flow of the method for representing contour features of a target image provided by the first embodiment of the present invention is shown. For ease of description, only the parts related to the embodiment of the present invention are shown.
[0032] Step S101: Obtain an edge contour image of the target image according to the edge detection algorithm.
[0033] This step first needs to obtain the edge contour image of the target image. This embodiment does not limit the specific edge detection algorithms used, such as Canny algorithm, Sobel algorithm, Roberts algorithm, SUSAN algorithm, etc., without the complexity of the algorithm and the edge detection effect. Different, the corresponding algorithm can be selected according to the actual target image detection accuracy.
[0034] Step S102: Obtain the tangent direction of each edge pixel in the edge contour image.
[0035] The edge contour image obtained in the above step S102 is a curve formed...
Example Embodiment
[0041] Embodiment two:
[0042] figure 2 The flow of the method for representing contour features of a target image provided by the second embodiment of the present invention is shown. For ease of description, only the parts related to the embodiment of the present invention are shown.
[0043] Step S201: Acquire an edge contour image of the target image according to the edge detection algorithm;
[0044] Step S202: Perform denoising and edge repair processing on the edge contour image.
[0045] In order to make the obtained edge contour image clearer and more accurate, this step also needs to perform denoising and edge repair processing on the edge contour image. Here, the denoising algorithm and the edge repair algorithm are not specifically limited in this implementation.
[0046] Step S203: Obtain the position vector of each edge pixel in the edge contour image Where dx i,j , Dy i,j Respectively indicate the horizontal and vertical distances between the current edge pixel and t...
Example Embodiment
[0053] Embodiment three:
[0054] Picture 9 It shows the structure of the device for representing the contour feature of the target image provided by the third embodiment of the present invention. For ease of description, only the parts related to the embodiment of the present invention are shown.
[0055] The device for expressing contour features of a target image provided in this embodiment includes:
[0056] The edge detection unit 901 is configured to obtain the edge contour image of the target image according to the edge detection algorithm;
[0057] The direction obtaining unit 902 is configured to obtain the tangent direction of each edge pixel in the edge contour image;
[0058] A direction counting unit 903, configured to divide the edge contour image into several blocks, and count the tangent direction histograms of edge pixels in each block in multiple directions;
[0059] The contour feature representation unit 904 is used to normalize the tangent direction histogram of ea...
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