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Fast Image Matching Method Based on Whale Optimization Algorithm and Gray Relational Analysis

A technology of grey relational analysis and optimization algorithm, applied in the field of image processing, can solve problems such as reducing the accuracy rate, achieve the effect of easy calculation, improve robustness and algorithm performance, and improve algorithm efficiency

Active Publication Date: 2021-12-03
HUBEI UNIV OF TECH
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Problems solved by technology

[0005] In order to solve the problem that the image matching algorithm is easy to fall into the local optimal solution and reduce the accuracy rate, the present invention proposes a fast image matching method based on the whale optimization algorithm and gray relational analysis

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  • Fast Image Matching Method Based on Whale Optimization Algorithm and Gray Relational Analysis
  • Fast Image Matching Method Based on Whale Optimization Algorithm and Gray Relational Analysis
  • Fast Image Matching Method Based on Whale Optimization Algorithm and Gray Relational Analysis

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Embodiment Construction

[0020] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be noted that gray relational analysis and whale optimization algorithm are prior art, and it should be understood that the The implementation examples are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0021] please see figure 1 , a kind of fast image matching method based on whale optimization algorithm and gray correlation analysis provided by the invention, comprises the following steps:

[0022] Step 1: Select the target image S and template image T to be searched.

[0023] use f S (i, j) represents the gray value of the target image S at the pixel point (i, j), and its size is M×N. Similarly, use f T (i, j) represents the gray value of the template image...

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Abstract

The invention discloses a fast image matching method based on whale optimization algorithm and gray relational analysis, uses gray relational analysis to simplify the similarity measurement calculation, and then uses whale optimization algorithm to perform matching search to obtain the best matching position, and proposes a noise resistance Better fast image matching algorithm. The invention applies the improved whale optimization algorithm based on gray relational analysis to image matching, realizes fast image matching, makes the image matching algorithm have good efficiency and matching accuracy and good anti-noise performance, and is a practical application value new method.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a fast image matching method based on a whale optimization algorithm and gray relational analysis. Background technique [0002] Image matching is one of the important contents of image processing. The process of image matching actually refers to the process of seeking the mapping between two images. At present, there are two main types of image matching methods: one is the matching method based on grayscale correlation, which directly uses the grayscale of the image for matching, the algorithm is simple, the matching rate is high but the calculation is heavy; the other is based on image features. method, it is necessary to extract features from the image first, and its calculation amount is relatively small, and it has good adaptability to grayscale changes, deformation and occlusion, but the matching accuracy is not high. The pursuit of matching accuracy, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33G06K9/62G06N3/00
CPCG06N3/006G06T7/33G06F18/22
Inventor 叶志伟张旭王春枝陈文倩杨娟金灿孙爽陈凤郑逍孙一恒
Owner HUBEI UNIV OF TECH
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