Color restoration algorithm of Rubik's cube color block based on SVM classification

Abstract

Under different color temperatures, the image will change color to different degrees during the process from collection to display. In the process of acquisition and digital conversion, the image will be disturbed by ambient noise and light environment, resulting in errors. The change of illumination environment and color difference will reduce the success rate of color recognition. This paper proposes an color restoration algorithm of Rubik's cube color block based on SVM classification to solve the above problems. Firstly, the image edge is processed through OpenCV gaussian filter, and then the image is processed through RGVHSV color domain conversion. The classification model of the six colors of Rubik's cube was established by studying the SVM classifier algorithm, so as to improve the color capture accuracy of Rubik's cube. At the same time, according to the overall structure of the Rubik's cube, the corner, edge and center block patching algorithm is proposed, the SVM category model is combined with the color patching algorithm, and the color of each cube block is obtained according to the color value predicted by the classifier and the color patching algorithm. Experimental simulation shows that the algorithm can effectively improve the speed and accuracy of the system to identify the color of Rubik's cube and accurately identify the color of Rubik's cube.