Undergraduate Theses
Image Texture Feature Extraction Using GLCM Approach
| Identifier | --pmohanaiah-59 |
|---|---|
| Penulis / Pengarang | P. Mohanaiah, P. Sathyanarayana, L. GuruKumar |
| Kata Kunci | Texture Pattern recognition Features Frames |
| Tanggal Publikasi | 03 May 2013 |
| Bahasa | Bahasa Indonesia |
| Abstrak / Deskripsi | Feature Extraction is a method of capturing visual content of images for indexing & retrieval. Primitive or low level image features can be either general features, such as extraction of color, texture and shape or domain specific features. This paper presents an application of gray level co-occurrence matrix (GLCM) to extract second order statistical texture features for motion estimation of images. The Four features namely, Angular Second Moment, Correlation, Inverse Difference Moment, and Entropy are computed using Xilinx FPGA. The results show that these texture features have high discrimination accuracy, requires less computation time and hence efficiently used for real time Pattern recognition applications. |
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ijsrp-p1750.pdf
Feature Extraction is a method of capturing visual content of images for indexing & retrieval. Primitive or lo…
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