Boundary Exposure Using Intensity and Texture Gradient Features

Images are used in many fields, including surveillance, medical diagnostics and non-destructive testing. Edge detection and boundary detection plays a fundamental role in image analysis and computer vision. A boundary map of image can provide valuable information for further image analysis and interpretation tasks such as segmentation, object description etc. Boundaries are mainly used to detect the outline or shape of an object. Image segmentation is used to locate objects and boundaries in images and it assigns a label in every pixel in an image such that pixels with the same level share have certain virtual characteristics. The paper proposed an edge detection technique for detecting the correct boundary of objects in an image. It can detect the boundaries of object using the information from intensity gradient using the vector image model and texture gradient using the edge map model. The proposed method for edge following technique is efficient and it is applicable on various kinds of medical images such as ultrasound images, magnetic resonance (MR) images, and computerized tomography images.

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