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A CNN is a dynamic nonlinear system with the local connectivity of cells and easy to be translated into a VLSI implementation. CNNs are very suitable for modeling the physical process of energy propagation since CNNs conserve the physical properties of a continuous structure. For the contour extraction, this paper proposes a method for establishing the evolution model of active contour by CNN technique...
This paper proposes a high-accuracy edge contour extraction algorithm based on curve evolution model and edgeflow. The approach automatically detect boundaries, and change of topology in terms of the edgeflow fields. We present the numerical implementation and the experimental results based on the semi-implicit method. Experimental results are given to demonstrate the feasibility of the proposed method...
In order to make both the edges and the multi-regions of a CT image more clearly, a new multi-region segmentation method based on information fusion, in which clustering segmentation algorithm is combined with edge detection, is proposed in this paper. Firstly the CT image is segmented by the K-means clustering algorithm and Canny edge detection operator to obtain two images with clear regions and...
Snake has two major difficulties: one is the very narrow capture range and the other is the difficulty in moving into boundary concavities. One of its advances, gradient vector flow (GVF) Snake has the advantages of insensitivity to contour initialization and its ability to deform into concave part of the object compared to other deformable contour models. However, the performance of a GVF snake to...
In this paper, a new edge detection approach combining Zernike moments operator with Sobel operator is proposed. This detection consists of two steps: Firstly, all probable edge points are detected using Sobel operator; Secondly, Zernike moments operator is used to relocate the edge precisely from the points detected by Sobel operator. In the second step, two masks (one real and one complex) are deduced...
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