Abstract
Abstract Segmentation of perspective bone image is a concern in many medical applications, such as detection and fracture of osteoporosis. To connect the second segment, which attachment points are extracted. The proposed technique's high processing speed and efficiency make this a promising solution in many applications to be implemented. Multi resolution wavelet binding, Fuzzy C-Means (FCM) algorithm and extraction active contour model, a model segment made from an X-ray image of the bone structure. An effective thresholding algorithm and Fuzzy C-Means segmentation and morphological operators based on proposed fracture. Compared to some of the traditions and methods of dividing the latest bone, this algorithm shows the visual assessment that it is excellent. Experimental results show this method is effective both in the manner of the divided data and speed. More accurate results for all rows divided images intensity fluctuation analysis bone region. Analyze the intensity fluctuations of the entire bone area line for more accurate segmentation of the image result.
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