FPGA Implementation of GLCM

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

Girisha A B¹  M C Chandrashekhar¹  M Z Kurian¹ 

[1] Dept. of E&C, SSIT

关键词: GLCM;    FPGA;    Texture Analysis;    Statistical method.;   

来源: Research & Reviews

【 摘 要 】

This paper presents hardware architecture for Gray Level Co-occurrence Matrix (GLCM). Texture is one of the important characteristics used in identifying objects or regions of interest in an image. A statistical method of examining texture that considers the spatial relationship of pixels is the GLCM, also known as the gray level spatial dependence matrix. The GLCM functions characterize the texture of an image by calculating how often pairs of pixel with specific values and in a specified spatial relationship occur in an image, creating a GLCM, and then extracting statistical measures from this matrix. GLCM is a second order statistical feature which contains information about pixels having similar gray level values in an image.

【 授权许可】

Unknown