Computer Science ›› 2016, Vol. 43 ›› Issue (1): 302-305.doi: 10.11896/j.issn.1002-137X.2016.01.065

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Noise Insensitive Feature Descriptors for Histogram and Application in Image Retrieval

LIU Shu-qin and PENG Jin-ye   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Content based image retrieval methods usually represent images as histograms,and retrieve images based on similarity between images.The noise in digital photography makes its histogram even more smoothing,and at the same time,makes two images more similar,which increases the number of result images during retrieving.In order to improve the performance of image retrieval,this paper proposed a feature descriptor,which is insensitive to noise for histogram,and computed similarities between images based on the proposed feature descriptor.We described the noise in an image as stationary additive Gaussian white noise,and gave its corresponding histogram.Then,we defined the feature descriptor of histogram by the general moments of random variable,and analyzed how to recover original histogram of an image using the proposed feature descriptor.During the validation of the proposed method,we compared it with four popular related algorithms,and validated its efficiency according to image retrieval experiments in two real image databases.

Key words: Image retrieval,Histogram,Noise,Feature descriptor

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