¹School of Space Science and Physics, Shandong University at Weihai, Weihai, China
²International College, Huanghuai University, Zhumadian, Henan, China
³Qingdao Technological University, Qindao College, Qingdao, China
⁴Department of Computer Science, Ocean University of China, Qingdao, China

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Abstract—In content-based image retrieval, the representation of local properties in an image is one of the most active research issues. This paper introduces a salient region detector based on wavelet transform. The detector can extract the visually meaningful regions on an image and reflect local characteristics. An annular segmentation algorithm based on the distribution of salient regions is designed. It takes not only local image features into account, but also the spatial distribution information of the salient regions. Then, Color moments and the introduced visual perception texture features of the regions around the salient points were computed as a features vector used for indexing the image. We tested the proposed scheme using a wide range image samples from the Corel Image Library, the experimental results indicating that the method has produced promising results.

Index Terms—Content-Based Image Retrieval, visual Perception Texture Features, Wavelet Transform, Salient regions, Spatial Distribution Information

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Cite: Muwei Jian, Ningbo Hao, Ping Ma, Junyu Dong, "Intergrating Salient Regions with New Perceptual Texture Features Based on Wavelet Transform for Image Retrieval," Journal of Software vol. 4, no. 8, pp. 851-858, 2009.