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In computer vision system, texture refers to the characteristics of an object that appear on its surface. Texture classification is to classify textures in correct texture groups. The accuracy of texture image classification depends on quality of texture features and classification algorithm used. In this paper, Brodatz texture images are used as an experimental data. Features are extracted from texture...
Segmentation technique is used for analysis and diagnosis of tumor in MRI Brain image. The paper presents Modified Fuzzy C Means with Optimized Ant Colony Algorithm for segmentation of brain tumors in 3D magnetic resonance images. In this paper, the image segmentation is obtained by using Modified Fuzzy C Means with Optimized Ant Colony Algorithm using Min - Max Ant System. The proposed methodology...
The quality of texture image classification depends on quality of texture features and classification algorithms. Most important is to select texture features with highly discriminative to inter-class textures. In this paper, features are extracted from texture images using Gray Level Co -- occurrence method and Wavelet method. Haralick features with a feed forward neural network show classification...
In this paper, a hybrid intelligent machine learning technique for automatic classification of brain magnetic resonance images is presented. The proposed multistage technique involves the following computational methods, Otsu's method for skull removal, Fuzzy Inference System for image enhancement, Modified Fuzzy C Means with the Optimized Ant Colony System for image segmentation, Second Order Statistical...
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