Affiliations: Department of Information Management, National Taichung
Institute of Technology, 129 Sec. 3, San-min Rd., Taichung, Taiwan 404. E-mail: wuhc@ntit.edu.tw | Department of Information Engineering and Computer
Science, Feng Chia University, Taichung, Taiwan, 40724. E-mail: ccc@cs.ccu.edu.tw
Abstract: This paper proposes two kinds of image features. One feature is the
spatial-histogram feature. It combines the color histogram feature and the
information about the dimensional position of pixels in an image to record the
distribution of the pixels' colors that are present in different
spatial positions within an image. The other image feature proposed in this
paper is the color-complexity feature, which can be used to describe the change
of pixel colors in the image. From the experimental results, ANMRR value is
provided and we observe that the image retrieval system based on these two
kinds of image features can provide a fairly good accuracy rate in image
retrieval. Moreover, it has the capacity to tolerate errors; that is, for
images that are damaged by rotation, shift, or color variant attacks, their
similar image pairs can still be retrieved from the image database. Thus, the
accuracy and flexibility of the image retrieval system are drastically
improved.
Keywords: Color-based image retrieval, color complexity, color histogram, K-mean
