대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1995년도 하계학술대회 논문집 B
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- Pages.974-976
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- 1995
ART2를 이용한 효율적인 텍스처 분할과 합병
Texture Segmentation using ART2
- Kim, Do-Nyun (Dept. of Computer Science, Ewha Womans University) ;
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Cho, Dong-Sub
(Dept. of Computer Science, Ewha Womans University)
- 발행 : 1995.07.20
초록
Segmentation of image data is an important problem in computer vision, remote sensing, and image analysis. Most objects in the real world have textured surfaces. Segmentation based on texture information is possible even if there are no apparent intensity edges between the different regions. There are many existing methods for texture segmentation and classification, based on different types of statistics that can be obtained from the gray-level images. In this paper, we use a neural network model --- ART-2 (Adaptive Resonance Theory) for textures in an image, proposed by Carpenter and Grossberg. In our experiments, we use Walsh matrix as feature value for textured image.
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