Cultural Relic Image Retrieval Based on Improved Sobel Operator
Xiaocheng Wei · Computer Technology and Development · 2011
Content-based image retrieval(CBIR) overcomes the problem that the text-based image retrieval is unable to use rich visual features in image.CBIR more fits the habit of human's cognition.The CBIR has become a hot spot in recent years.Among them,the texture feature is an important visual image features.The experiments,combining the characteristics of cultural relics,turns the colorful cultual relics into grayscale image first.Then detect the edge by Canny factor.And use im proved Sobel operator simulate co-occurrence matrix which tests 4 directions texture matrix.Ultimately convert the image to a histogram to extract the texture features of image artifacts.Experiments showed that texture features are artifacts can get a good image retrieval to retrieve results.