Image matching method utilizing block Boolean operation

A technology of Boolean operation and matching method, which is applied in image analysis, image data processing, calculation, etc., can solve the problems of distorted and blurred image splicing, unrealizable complete traversal, and reduced matching accuracy, so as to reduce difficulty and improve scalability and applicability, the effect of increasing speed

Inactive Publication Date: 2013-07-31
TIANJIN UNIV
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Then the traditional RANSAC algorithm eliminates the mismatching points through the complete traversal of the feature points, so as to determine the correct feature point pair, but due to the limitation of computing power and computing speed, the complete traversal is often not achiev

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  • Image matching method utilizing block Boolean operation
  • Image matching method utilizing block Boolean operation
  • Image matching method utilizing block Boolean operation

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[0022] The purpose of the present invention is to provide a kind of random sampling agreement (RANSAC) algorithm that converts the characteristic point matrix of image into Boolean matching operation after compressing, and rejects the wrong matching pair in image splicing. The algorithm can greatly improve the computing speed, and is suitable for parallel computing, so that the matching efficiency can be greatly improved, and an optional image splicing and fusion solution is provided for various multimedia devices today.

[0023] The random sampling consensus algorithm based on Boolean operation matching used in the present invention uses the feature matrix of the two images to be partitioned into N×N blocks, and then the 3×3 matrix is ​​compressed into a point in each block , if the 3×3 matrix contains feature points, the point value is 1, if there is no feature point in the 3×3 matrix, the point value is 0, thus converting the entire feature matrix into a 9-fold compressed Bo...

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Abstract

The invention relates to the field of digital image processing and provides a random sample consensus (RANSAC) algorithm for removing mismatching pairs from image splicing after characteristic point matrices of images are compressed. The algorithm can increase operational speed greatly, is suitable for parallel computation, can greatly improve the matching efficiency, and provides an optional image splicing and fusion solution for diverse multimedia equipments at present. Therefore, the invention adopts a technical scheme that an image matching method utilizing block Boolean operation comprises the following steps of dividing the matrices, compressing the matrices and conducting Boolean conversion, matching characteristic matrix blocks in Boolean formats of the two images, searching the best characteristic matching pair, conducting matching operation of the RANSAC algorithm, and finally confirming the best affine matrix. The image matching method is mainly applied to digital image processing.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to an image matching method using block Boolean operations. technical background [0002] Digital image stitching is one of the key technologies in digital image processing, and it is the basis of other digital image processing, such as panoramic video, intelligent video surveillance, etc. How to achieve high-speed and high-quality image stitching is crucial to the entire system important. [0003] Image mosaic is based on the theory of image feature matching, selects and extracts the feature points of the gray value of the image, and then matches the extracted feature points to find out the affine matrix between the source image and the target image. The two can be spliced ​​by using the projection matrix to obtain a high-precision wide-angle stitched image. [0004] In image stitching technology, it is often prone to mis-matching, that is, the matched feature point pairs ...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 史再峰庞科姚素英徐江涛郭美菊刘江明
Owner TIANJIN UNIV
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