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Detection of intruders and predicting their activities are the first and foremost needs of surveillance. An embedded system employing geophone, adaptive event extraction, and robust machine learning algorithms have made it possible not only to detect the presence of a potentially harmful intruder but also to predict to a high degree of accuracy, his state of motion, and to take counter action at the...
Breast lesions are characterized into three classes which include primary benign, primary malignant and secondary malignant. In the present work Laws' mask texture features are computed from the ultrasound images of the breast lesions. These Laws' masks of various resolutions i.e., of length 3,5, 7 and 9 have been used to extract the statistical features (Mean, Standard Deviation, Kurtosis, Skewness...
Breast Cancer is one of the most lives threatening cancer in women, the earlier diagnosis of cancer is always a big plus in the treatment. The region suffering from damage is known as lesion and the breast lesions are classified into two categories i.e. benign and malignant. In this work the analysis of breast lesions is completed using the texture features. Laws' mask texture features of different...
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