Mohammed W. Ashour

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Texture classification is one of the most important clues of visual processing applications .In this paper, we present a comparison between the most two popular supervised texture classification methods based on the feed forward Artificial Neural Network (ANN) and the multi-class Support Vector Machine (SVM). Five of the most common used features extraction(More)
Texture analysis plays an essential and a major rule in image classification and segmentation in a wide range of applications such as medical imaging, remote sensing and industrial inspection. In this paper, we review the well known approaches of texture feature extraction and perform a comparative study between them. These approaches are namely gray level(More)
Identification of the machining process producing a specific engineering surface is very important in manufacturing facilities. Computer vision has become center-stage in automatic identification of these processes, with benefits of man-power reduction as well as the drawbacks of human involvement such as inconsistencies caused by fatigue. In this paper, we(More)
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