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https://www.sciencedirect.com/science/article/pii/S0893608012001281
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 pixel-based color image segmentation using Support Vector Machine (SVM) and Fuzzy C-Means (FCM). Firstly, the pixel-level color feature and ...Cited by: 28
https://www.researchgate.net/publication/252148261_Image_segmentation_using_support_vector_machine
Image segmentation is a necessary step in image analysis. Support vector machine is considered a good candidate because of its good generalization performance, especially when the number of ...
https://in.mathworks.com/matlabcentral/answers/79190-image-segmentation-using-support-vector-machine
Jun 15, 2013 · Image Segmentation using support vector machine. Learn more about image segmentation using svm Image Processing Toolbox
https://www.sciencedirect.com/science/article/pii/S0925231211004474
Automatic segmentation of images is a very challenging fundamental task in computer vision and one of the most crucial steps toward image understanding. In this paper, we present a color image segmentation using automatic pixel classification with support vector machine (SVM).Cited by: 17
https://www.sciencedirect.com/science/article/pii/S0031320310003948
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.Cited by: 144
https://en.wikipedia.org/wiki/Support-vector_machine
Support-vector machine weights have also been used to interpret SVM models in the past. Posthoc interpretation of support-vector machine models in order to identify features used by the model to make predictions is a relatively new area of research with special significance in the biological sciences. History
https://www.sciencedirect.com/science/article/pii/S0167865502001770
Segmentation of ultrasonic images using Support Vector Machines ... The latter is a bound on the generalization ability of the learning machine, that depends on the so-called VC dimension of the set of functions implemented by the machine. There is a close relationship ... UK. The original image, its segmentation into two classes using the ...Cited by: 67
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