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Color Texture Segmentation Using Quaternion Wavelet Filters and Self Organizing Map
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2013 |
| Abstract | This chapter presents the proposed color texture segmentation approach based on Reduced Biquaternions (RBs) and Discrete Wavelet Transform (DWT). Color and texture are the two essential features in color image analysis. The perception of color is of paramount importance in application areas such as multimedia, computer vision, graphics, biomedical signal processing, and industrial inspection. Humans routinely use color features to sense the environment, identify and recognize objects of interest, and convey information. Texture is also an efficient measure to estimate the structure, orientation, roughness, smoothness, or regularity differences of diverse regions in an image scene. Characterizing a real-world view or an image into different texture classes (segmentation) is often a trivial task for the human visual system but is one of the most challenging problems in the field of computer vision and image processing. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://shodhganga.inflibnet.ac.in:8080/jspui/bitstream/10603/13804/8/08_chapter%203.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
