Application of Rough Sets Theory to Image Enhancement Processing

Abstract:

This paper presents a study of the application methods of rough sets theory to the main image features obtaining, image automatically recognizing and edges detecting. The color image from the field research was processed. The color characters and texture characters were used to build a decision table including seventeen features. The objects were classified and enhanced by cutting attributes, classifying and rule-obtaining. At the same time,the region edge image was made. The test result shows that this method can better segment the image, enhance the regional image and detect the edge of the image. And the blue standard deviation, red variation, correlation index between red and blue, color feature, contrast and entropy are regarded as the main condition attributes.