关键词: 图像检索, 模糊集, 颜色识别, 特征提取

Abstract: Content-based Image Retrieval（CBIR） has become a hot research field of image processing. Features extraction and matching of image are the primary means of CBIR. However, it is extremely difficult to extract effective characteristics. This paper combines the HSV color space’s characteristics with laws of human perception of color, to propose a color recognition method. Applying this method, pixels in image are divided into several classes which keep the structure in the original image. Structure feature extraction is implemented in each class. Image feature matching is done between the corresponding classes in different images. This method reduces the complexity of the image features extraction and matching. The experiments show that the proposed image retrieval method has good results.

Key words: image retrieval, fuzzy sets, color recognition, feature extraction