Methods of distinguishing contours and describing key points when comparing color images

This paper discusses methods of using color information in solving problems of image comparison and the recognition and tracking of objects in a closed space. These problems are characteristic of the computer-vision systems of mobile robots. Methods of distinguishing contours on the basis of the Cumani operator are discussed, as well as of detecting key points, using a color method based on the difference of Gaussians. A new method is proposed for constructing descriptors of the key points, based on the color tensor. Experiments show an increase in the efficiency of the indicated methods by 10-15%, with a close-to-threefold increase of the processing time.

[1]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Patrick Marquié,et al.  Contour Detection Based on nonlinear discrete Diffusion in a Cellular nonlinear Network , 2001, Int. J. Bifurc. Chaos.

[3]  Alan L. Yuille,et al.  Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Zhiguo Jiang,et al.  The usage of color invariance in SURF , 2009, International Symposium on Multispectral Image Processing and Pattern Recognition.

[5]  Johan Wiklund,et al.  Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  T. Gevers,et al.  UvA-DARE ( Digital Academic Repository ) Robust Histogram Construction from Color Invariants for Object Recognition , 2003 .

[7]  S. Yoshizawa,et al.  An Active Pulse Transmission Line Simulating Nerve Axon , 1962, Proceedings of the IRE.

[8]  Silvano Di Zenzo,et al.  A note on the gradient of a multi-image , 1986, Comput. Vis. Graph. Image Process..

[9]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[10]  Joost van de Weijer,et al.  Robust photometric invariant features from the color tensor , 2006, IEEE Transactions on Image Processing.

[11]  Arnold W. M. Smeulders,et al.  Color-based object recognition , 1997, Pattern Recognit..