Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture representation based on pattern map
Signal Processing
Segmentation of multispectral remote sensing images using active support vector machines
Pattern Recognition Letters
Scenery image segmentation using support vector machines
Fundamenta Informaticae
Canny Edge Detection Enhancement by Scale Multiplication
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Objective Evaluation of Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Expert Systems with Applications: An International Journal
Journal of Visual Communication and Image Representation
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ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
A TSVM Based Semi-Supervised Approach to SAR Image Segmentation
ETTANDGRS '08 Proceedings of the 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing - Volume 01
Benchmarking Image Segmentation Algorithms
International Journal of Computer Vision
Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic
IEEE Transactions on Fuzzy Systems
Color texture segmentation based on the modal energy of deformable surfaces
IEEE Transactions on Image Processing
Automatic image segmentation by dynamic region growth and multiresolution merging
IEEE Transactions on Image Processing
A color- and texture-based image segmentation algorithm
Machine Graphics & Vision International Journal
Multi-scale image segmentation algorithm based on support vector machine approximation criteria
Concurrency and Computation: Practice & Experience
Robust twin support vector machine for pattern classification
Pattern Recognition
LS-SVM based image segmentation using color and texture information
Journal of Visual Communication and Image Representation
Color texture segmentation based on image pixel classification
Engineering Applications of Artificial Intelligence
Using robust dispersion estimation in support vector machines
Pattern Recognition
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Image segmentation is an important tool in image processing and can serve as an efficient front end to sophisticated algorithms and thereby simplify subsequent processing. In this paper, we present a color image segmentation using pixel wise support vector machine (SVM) classification. Firstly, the pixel-level color feature and texture feature of the image, which is used as input of SVM model (classifier), are extracted via the local homogeneity model and Gabor filter. Then, the SVM model (classifier) is trained by using FCM with the extracted pixel-level features. Finally, the color image is segmented with the trained SVM model (classifier). This image segmentation not only can fully take advantage of the local information of color image, but also the ability of SVM classifier. Experimental evidence shows that the proposed method has a very effective segmentation results and computational behavior, and decreases the time and increases the quality of color image segmentation in comparison with the state-of-the-art segmentation methods recently proposed in the literature.