Analysis of various Edge detection methods for X-ray images

X-Ray images are undoubtedly one of the earliest yet most informative ways of analyzing anomaly in bones. X-Ray is one of the oldest and most frequently used devices to capture human bones. An X-ray can capture images of any bone in the body [2]. Image processing has attained the widespread domain, the engineering world witnesses its advancements; and also it reached to the public [4]. The use of Magnetic Resonance Imaging (MRI), computed tomography (CT), digital mammography and other imaging modalities is ever flourishing as critical peripherals in diagnostic techniques [5]. Image segmentation is an important headway in the field of image analysis and is used in a variety of applications including pattern recognition, object detection, and medical imaging [1], which is considered to be as one of the fundamental demands in the field of image processing and computer vision. The task of image segmentation can be stated as the partition of an image into different meaningful regions with homogeneous characteristics using discontinuities or similarities of the image such as intensity, color, tone or texture, and so on [2]. Plentiful numbers of techniques have been developed for image segmentation [3-5].