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.

透视骨图像的分割是许多医学应用中关注的问题，例如骨质疏松症的检测和骨折。要连接第二段，要提取哪些连接点。所提出的技术的高处理速度和效率使其成为在许多要实现的应用中有希望的解决方案。多分辨率小波绑定，模糊C均值（FCM）算法和提取活动轮廓模型，这是由X射线骨骼结构图像制成的模型片段。基于提出的裂缝的有效阈值算法和模糊C均值分割和形态算子。与分割最新骨骼的一些传统方法相比，该算法显示出视觉效果，认为它非常出色。实验结果表明，该方法在分割数据和速度上均有效。对于所有行划分的图像，更准确的结果是强度波动分析骨骼区域。分析整个骨骼区域线的强度波动，以更准确地分割图像结果。