Unlock instant, AI-driven research and patent intelligence for your innovation.

A Realization Method of High-speed Real-time Image Co-occurrence Matrix Angle Second-Order Distance

A real-time image, angular second-order distance technology, applied in instruments, character and pattern recognition, computer parts and other directions, can solve the problem of gray co-occurrence matrix calculation method description, etc. simple effect

Active Publication Date: 2016-08-17
XIAN INSTITUE OF SPACE RADIO TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method does not explain the specific calculation method of the gray level co-occurrence matrix

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Realization Method of High-speed Real-time Image Co-occurrence Matrix Angle Second-Order Distance
  • A Realization Method of High-speed Real-time Image Co-occurrence Matrix Angle Second-Order Distance
  • A Realization Method of High-speed Real-time Image Co-occurrence Matrix Angle Second-Order Distance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The specific embodiments of the present invention will be further introduced below in conjunction with the accompanying drawings.

[0035] Such as figure 1 As shown, a method for realizing the second-order distance of the co-occurrence matrix angle of a high-speed real-time image of the present invention includes the following steps:

[0036] (1) Obtain the image to be processed, the image size is a two-dimensional matrix l of M×M, where M is a multiple of 2, the pixel precision is PN bits, and the image gray level co-occurrence matrix G 1 size is 2 N ×2 N , where N is a positive integer, and the second-order distance of the co-occurrence matrix angle is ASM;

[0037] (2) Parameter initialization, initialize the gray level co-occurrence matrix G 1 All the elements of are 0, initialize the co-occurrence matrix angle second-order distance value ASM to 0, initialize the image matrix row address calculator i to 0, column address calculator j to 0, initialize the co-occurr...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for realizing the angular second-order distance of a high-speed real-time image co-occurrence matrix (Gray Level Co-Occurrence Matrix). The present invention utilizes the characteristic of repeated update of the grayscale co-occurrence matrix, converts the square operation into the shift and addition operation, and achieves high-speed realization through the ping-pong operation. The image co-occurrence matrix angle second-order distance calculation method adopted in the present invention effectively reduces the number of iterative loop operations, and uses the shift-add operation to realize the square operation, which is easy to use FPGA or ASlC to realize high-speed design.

Description

technical field [0001] The invention relates to a high-speed real-time image co-occurrence matrix (Gray Level Co-Occurrence Matrix) angle second-order distance realization method, which belongs to the field of high-speed realization of image processing. Background technique [0002] The texture of an image is formed by the repetition of gray levels in spatial positions. Therefore, two pixel gray levels with a certain positional relationship in the image space have a gray level relationship. This grayscale relationship is called the spatial correlation of grayscale in an image. The co-occurrence matrix (GLCM) was proposed by Haralick et al. Its basic idea is to use the spatial correlation of the texture in the gray level, first construct a co-occurrence matrix according to the direction and distance between image pixels, and then extract from the co-occurrence matrix Meaningful statistics as texture features of images. Because the texture feature based on the co-occurrence...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/52
Inventor 张海涛孙文方
Owner XIAN INSTITUE OF SPACE RADIO TECH