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
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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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