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

Иванов П.И., Маничев А.Э., Потапов А.С. Методы выделения контуров и описания ключевых точек при сопоставлении цветных изображений // Оптический журнал. 2010. Т. 77. № 11. С. 43–50.

Ivanov P.I., Manichev A.E., Potapov A.S. Methods of distinguishing contours and describing key points when comparing color images [in Russian] // Opticheskii Zhurnal. 2010. V. 77. № 11. P. 43–50.

P. I. Ivanov, A. É. Manichev, and A. S. Potapov, "Methods of distinguishing contours and describing key points when comparing color images," Journal of Optical Technology. 77(11), 690-696 (2010). https://doi.org/10.1364/JOT.77.000690

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.