Color Edge Detection by Using the Centerline Extraction Method

In order to obtain more complete and continuous edge information of the image, the image enhancement methods and Hessian matrix are used in the process of edge detection. Based on the gradient information of color images, the pseudo-color edges can be got by using the multi-channel edge detection. Then, enhance the edge information and remove the correlation to obtain complete edge information. The Hessian matrix is used in the last place to remove edges with redundant background texture and coarse edges so that the edge information will be more continuous and smooth. Two experiments are conducted to verify the effectiveness of the proposed method. The software is developed by using MATLAB. Experiments have confirmed that the result of proposed detection is more continuous and clearer and more details are contained. Furthermore, a good balance between the integrity and accuracy of edge detection is achieved as well.

[1]  Humberto Bustince,et al.  Multiscale edge detection based on Gaussian smoothing and edge tracking , 2013, Knowl. Based Syst..

[2]  Yu Zhang,et al.  Image edge detection method of combining wavelet lift with Canny operator , 2011 .

[3]  Alejandro F. Frangi,et al.  Muliscale Vessel Enhancement Filtering , 1998, MICCAI.

[4]  Ajay Mittal,et al.  A Survey on Various Edge Detector Techniques , 2012 .

[5]  Shu Ning,et al.  Edge detection based on Canny operator and evaluation , 2003 .

[6]  Ding Wen,et al.  Local Adaptive Perceptual Color Difference for Color Image Edge Detection: Local Adaptive Perceptual Color Difference for Color Image Edge Detection , 2013 .

[7]  Kin-Man Lam,et al.  Efficient Edge Detection Using Simplified Gabor Wavelets , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[8]  Tian Jie,et al.  Centerline Extraction Based on Hessian Matrix , 2003 .

[9]  William McIlhagga,et al.  The Canny Edge Detector Revisited , 2011, International Journal of Computer Vision.

[10]  Yang Ning Novel curve fitting edge feature extraction algorithm , 2011 .

[11]  Madasu Hanmandlu,et al.  A novel bacterial foraging technique for edge detection , 2011, Pattern Recognit. Lett..

[12]  Min Yang,et al.  Fast Algorithm and Application of Wavelet Multiple-scale Edge Detection Filter , 2012 .

[13]  Francisco José Madrid-Cuevas,et al.  A novel histogram transformation to improve the performance of thresholding methods in edge detection , 2011, Pattern Recognit. Lett..

[14]  Gholamreza Baghersalimi,et al.  A recursive color image edge detection method using Green's function approach , 2013 .

[15]  O. R. Vincent,et al.  A Descriptive Algorithm for Sobel Image Edge Detection , 2009 .

[16]  Mingquan Zhou,et al.  Detail enhancement and noise reduction with true color image edge detection based on wavelet multi-scale , 2011, 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC).

[17]  Daniel Díaz-Pernil,et al.  Segmenting images with gradient-based edge detection using Membrane Computing , 2013, Pattern Recognit. Lett..

[18]  WU Fen-xia,et al.  An Approach for Image Enhancement Based on High Frequency Emphasize Filter and Histogram Equalization , 2009 .

[19]  Patrick Siarry,et al.  Fast multilevel thresholding for image segmentation through a multiphase level set method , 2013, Signal Process..

[20]  Chang Yuqing An Improved Canny Algorithm for Edge Detection , 2007 .