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Image similar block evaluation method

A technology of image similarity and image blocks, applied in image enhancement, image data processing, instruments, etc.

Active Publication Date: 2016-12-07
XIANGTAN UNIV
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Problems solved by technology

In many classic image processing algorithms based on image blocks, Euler distance is often used to evaluate whether two image blocks are similar, but this method has certain limitations, because Euler distance only considers the grayscale of the image. At the same time, the image block subspace is not completely Euler space, and using Euler distance is not a good measure of similarity. Therefore, when selecting similar blocks, it is necessary to consider the structure of the image subspace and some structures feature

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Embodiment 1

[0106] from image 3 It can be seen that assuming that the two included angles are α and β respectively, α represents the angle between the direction of the maximum change in the gray value of point Ai and the direction of the minimum change in gray value, and β represents the direction of the maximum change in the gray value of point Bi and the minimum change in gray value The angle between the directions defines the geodesic distance d(S Ai ,S Bi ). Define weights weight1, weight2:

[0107] weight1=0.5*(value[Ai]-value[Bi]) 2 Wherein: value[Ai], value[Bi] respectively represent the gray values ​​of Ai and Bi at the same position in the image block;

[0108] weight2=0.5*(tAi+tBi+tan|α-β|)tAi, tBi respectively represent the image block S A and S B The gradient value of the i-th pixel in ; α, β respectively represent the angle between the maximum direction and the minimum change direction of the pixel value of the i-th pixel;

[0109] Calculate the geodesic distance betw...

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Abstract

Provided is an image similar block evaluation method. The method includes the following steps of (1) taking two image blocks SA, SB having the dimension of K*K from a refrigeration electronic microscope image; (2) calculating the gradient value tAi corresponding to each pixel in the image block SA, storing the values in a matrix DSA, calculating the gradient value tBi corresponding to each pixel in the image block SB, and storing the values in a matrix DSB; (3) calculating the wieght1 and weight 2 of an ith point; (4) calculating the ground measuring distance of Ai and Bi at the same position of the image blocks; (5) calculating the ground measuring distance between the SA and the SB; and (6) comparing d(SA, SB) with a predefined threshold T, and determining whether the image blocks SA and SB are similar or not. The similar block measurement method based on the ground measuring distance can effectively improve the similar block set accuracy, and the denoising effect can be improved by applying to a denoising algorithm based on the image blocks.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method for evaluating similar blocks of cryo-electron microscope images. Background technique [0002] With the rapid development of science and technology, people's understanding of biology is no longer limited to the macroscopic stage. People want to have a deeper understanding of the microscopic world of biology. According to the structure to determine the function, it is necessary to understand the function and internal mechanism of biological macromolecules, such as To copy and reproduce, we must first know its structure. Due to the complexity of the internal structure and huge molecular weight of biological samples, analyzing its three-dimensional structure has always been the bottleneck that affects the follow-up research on its function. Until the middle and late last century, with the rapid development of material science, more and more precision instruments and equipment grad...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T5/00
CPCG06F18/22G06T5/70
Inventor 欧阳建权唐欢容陈纯玉
Owner XIANGTAN UNIV