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Research on image retrieval technology based on color feature, for the color histogram with a rotation, translation invariance of the advantages and disadvantages of lack of space, a color histogram and color moment combination image retrieval. The theory is a separate color images and color histogram moment of extraction, and then two methods of extracting color feature vector weighted to achieve...
In multi-camera surveillance systems, it is important to track the same person across multiple cameras. It is also desirable to recognize the individuals who have been previously observed in a single-camera system. The method that represents a object image using a bag of visual words has been commonly used in image retrieval applications. For recognizing people, it can outperform the methods mainly...
Interest points are local properties of an image with high informational content. In this paper, we present a new method for image retrieval based on color and distribution of interest points. Firstly, we use Harris corner detector to extract interest points. Secondly, we design a 2D histogram based on interest points to describe an image, which not only takes the local color feature into consideration,...
This article provides a color-based image retrieval technique for RGB image databases. Our proposed CBIR system uses the query by example approach and a relevance feedback mechanism. Feature extraction process is performed by computing a global color histogram for each image. Feature vectors are compared using the histogram intersection difference metric, and a relevance feedback mechanism is used...
Research the current content-based image retrieval technology. In order to improve the limitations of single feature image retrieval and the computational complexity of integrated features image retrieval is so complexity, so it brings up a new method based on uniting features. The mainly theory is that combines Tamura texture feature with wavelet transform texture analysis of resist geometric distortions...
In this paper, a new image retrieving method is proposed, which integrates color features, and integrates color histogram, relevance feedback, the partition color and the genetic algorithms. First, by analyzing images' color histogram, dasiaexample imagespsila which have the same global color feature are founded out. Then, by using relevance feedback for these images, images which user thought are...
This paper describes a project that implements and tests a simple color histogram based search and retrieve algorithm for images. The study finds the technique to be effective as shown by analysis using the RankPower measurement. The testing also highlights the weaknesses and strengths of the model, concluding that the technique would have to be augmented and modified in order for practical use.
Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. The emergence of vast amounts of geographically calibrated image data is a great reason for computer vision to start looking globally on the scale of the entire planet. In this paper, we propose a correlated association rule based framework for querying an image database...
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