Using Intrinsic Object Attributes for Incremental Content Based Image Retrieval with Histograms

Park, Jong-An; Han, Sunyoung; Kim, Pankoo

doi:10.1007/978-3-540-72588-6_133

Cited by 3 publications

(1 citation statement)

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“…Park et al (2007d) have been working on distinct methods targeting web based image retrieval and they have used the concepts of histogram and correlogram (Park et al,2007b). Moreover, Park et al (2005), Park et al (2007c), and Park et al (2007a) have rigorously researched specialized improvements in the histogram refinement method. Their research has been developed further and their model has been improved through considering all the factors involved and their affect on the image analysis and retrieval.…”

Section: Introductionmentioning

confidence: 99%

Feature extraction through generalization of histogram refinement technique for local region‐based object attributes

Rasheed

Park

et al. 2011

Int J Imaging Syst Tech

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Content based image retrieval (CBIR) is used to retrieve digital images from large databases. However, the problem of retrieving images on the basis of the contents remains largely unsolved. The proposed method of image retrieval is based on the information provided by histogram analysis of the intensity or grayscale values of images. Some additional properties are also calculated and used that are based on regional characteristics of various objects in the image. The need to retrieve the additional regional properties arises due to the fact that the standard histograms are insensitive to small changes in images. Many images of different types can have similar histograms, because, histograms provide only a coarse characterization of an image. This is the main disadvantage of using histograms. This research is based on the concept of Histogram Refinement (Pass and Zabih, IEEE Workshop Appl Comput Vision (1996), 96-102). Distributing the grayscale image intensities by splitting the pixels using their intensity values into several classes just like the histogram refinement method can provide an estimate of the object characteristics present in an image. After the calculation of clusters using a color refinement method, the inherent features of each of the clusters is calculated based on the regional properties of the clusters. These additional region based features expound some structural information of the image. Finally, all of these features are used for image retrieval.

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