Adaptive template matching method and device based on cross entropy dissimilarity
An adaptive model and matching method technology, applied in the field of image recognition, can solve the problems of irreconcilable matching speed and matching accuracy, and the decrease of matching target positioning accuracy, so as to achieve the effect of ensuring matching accuracy and improving matching speed
Inactive Publication Date: 2018-07-06
GUANGDONG UNIV OF TECH
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Problems solved by technology
In the prior art, the matching speed is generally improved by increasing the number of pixels translated each time in the local area. However, if the number of pixels translated is increased blindly globally, the positioning accuracy of the matching target will be reduced.
Therefore, the matching speed and matching accuracy in the prior art are often a pair of irreconcilable contradictions
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[0048] The core of the present application is to provide an adaptive template matching method, device, equipment and computer-readable storage medium based on cross-entropy dissimilarity, so as to effectively improve the matching speed while ensuring the matching accuracy.
[0049]In order to describe the technical solutions in the embodiments of the present application more clearly and completely, the technical solutions in the embodiments of the present application will be introduced below in conjunction with the drawings in the embodiments of the present application. Apparently, the described embodiments are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0050] Please refer to figure 1 , figure 1 A flow chart of an adaptive template matching method b...
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The application discloses an adaptive template matching method based on cross entropy dissimilarity, comprising the following steps: determining the coordinate effective range and coordinate initial value of a matching start point of an image to be identified; successively adjusting the matching start point within the coordinate effective range according to a preset translation direction and amount of translation, and carrying out dissimilarity calculation to obtain the dissimilarity values corresponding to the matching start points; determining minimum values in all the dissimilarity values;and determining the position of a matching target in the image to be identified according to the coordinates of the matching start points corresponding to the minimum values, wherein the amount of translation has the same increase or decrease as the dissimilarity values corresponding to the matching start points. According to the application, the amount of translation is adjusted adaptively according to the cross entropy dissimilarity, and the matching speed can be improved while the matching accuracy is guaranteed. The application further discloses an adaptive template matching device and equipment based on cross entropy dissimilarity and a computer readable storage medium, which have the same beneficial effect.
Description
technical field [0001] The present application relates to the technical field of image recognition, and in particular to an adaptive template matching method, device, equipment and computer-readable storage medium based on cross-entropy dissimilarity. Background technique [0002] Since template matching is one of the most representative and commonly used methods in image recognition, how to effectively improve the performance of template matching algorithms is of great significance for the study of whether there is a matching target in the image to be recognized. [0003] The algorithm idea of template matching is to sequentially move and select the local area with the same shape and size as the template image of the matching target from the image to be recognized, so as to match and compare with the template image, calculate the degree of difference or similarity between the two, and then determine the Whether there is a matching target in the local area is judged. [0...
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Login to View More IPC IPC(8): G06K9/62
CPCG06V10/759G06V10/754G06V10/751
Inventor 汤晖吴泽龙陈新高健贺云波杜雪陈桪
Owner GUANGDONG UNIV OF TECH