Lateral inhibition random fractal search template coupling method

A technology of template matching and lateral suppression, applied in the field of image processing, can solve the problems of whole group search stagnation, search stagnation, and discreteness of feasible domain search space, and achieve the effect of solving template matching problem, good effect and robustness.

Inactive Publication Date: 2017-05-10
GUANGXI UNIV FOR NATITIES
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Problems solved by technology

[0004] The purpose of the present invention is to provide a random fractal search template matching method with lateral suppression, aiming to solve the problem of falling into a local optimum in the process of searching for the optimal matching solution, resulting in ...

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  • Lateral inhibition random fractal search template coupling method
  • Lateral inhibition random fractal search template coupling method
  • Lateral inhibition random fractal search template coupling method

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[0048] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0050] like figure 1 As shown, the side suppression random fractal search template matching method provided by the embodiment of the present invention includes the following steps:

[0051] S101: Import the original image and the template image (both in RGB format), convert them into grayscale images with rgb2gray; use the side suppression mechanism to preprocess the image, which can effectively suppress the background and enhance the target, thereby reducing image noise , improve th...

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Abstract

The present invention discloses a lateral inhibition random fractal search template coupling method. The method comprises: performing image preprocessing, obtaining an original image and a template image, and converting the original image and the template image to a gray level mode; utilizing the lateral inhibition mechanism to perform image processing, wherein the inhibition mechanism can effectively perform background inhibition and target enhancement so as to reduce the image noise and improve the signal to noise ratio; performing LI-SFS parameter initialization; setting the maximum number of diffusion times as 1; applying the Gaussian migration method to solve the template matching problem updating the position of a search individual; and obtaining an optimal individual after performing the update process twice. The lateral inhibition random fractal search template coupling method is compared with the algorithm based on the lateral inhibition, and the experiment result is shown in the template matching problem. The lateral inhibition random fractal search template coupling method has good effect and robustness, is greatly helpful to detect a target in the cluttered background, can enhance the comparison of the feeling information and reduce the low-frequency noise.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a side suppression random fractal search template matching method. Background technique [0002] Template matching refers to the process of finding the same or similar region as a given template in the target image. It is one of the basic methods of computer vision and has been widely used in many fields such as face recognition, lung nodule detection, handwriting recognition and road detection. Applications. Template matching techniques involve translating the template to each possible location in the original image, and evaluating the match between the template and the original image at that location. Template matching methods are mainly divided into two categories: matching based on grayscale methods and matching based on feature methods. The matching based on the grayscale method is based on the grayscale value, and the partial similarity between the template and t...

Claims

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Application Information

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IPC IPC(8): G06T7/30G06T5/00G06T7/13G06K9/62
CPCG06T5/002G06T2207/10004G06T2207/20192G06V10/751
Inventor 周永权张森罗淇方黄华娟
Owner GUANGXI UNIV FOR NATITIES
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