关键词: 颜色特征, 纹理特征, 结构元素描述符, 旋转和尺寸不变性

Abstract:

Accurate image retrieval is required to index and retrieve large number of images from huge databases. This paper presents an efficient approach to encode the color and textural features of images from the local 2×2 pixel grids. The color features are extracted by quantizing the HSV color space into a single channel with reduced number of shades. The texture information is encoded with 5 structuring patterns generated from the locally structured elements chosen as a basis. Color and textural features are fused together to construct the inherent color and texture hybrid image descriptor (CTHD) which is rotation and scale invariant. This fusion is carried out by extracting textural cues over each shade independently. CTHD has been tested on the Corel-1K and Corel-5K datasets, and the experimental results suggest that CTHD outperforms state-of-the-art descriptors. The performance of the CTHD can also be effectively used under more complex image transformations.

Key words: color feature, textural feature, structure element descriptor, rotation and scale invariant