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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gupta, L. Das, S. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. - Madras, Chennai (Gupta, L.; Das, S.) |
| Abstract | Texture boundaries or edges are useful information for segmenting a texture image. We propose a texture edge detection algorithm using a bank of 1D multi-channel, multi-resolution filters and self organizing map (SOM). 2D filtering smears the effect of an edge in all directions, and hence we used 1D filtering that will only smear the edge in the direction of filtering. SOM reduces the dimension of a feature vector by producing a 1D map which plots the similarities of data by grouping similar items together. The output of SOM is processed to obtain the texture edge map. The proposed methodology is tested on simulated as well as natural texture images and produces satisfactory results |
| Sponsorship | IEEE CPS |
| Starting Page | 199 |
| Ending Page | 202 |
| File Size | 416023 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769525210 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2006.1111 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Computer vision Gabor filters Discrete wavelet transforms Image segmentation Information filtering Information filters Humans Multiresolution analysis Visual system |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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