2D Image Morphing Using Pixels Based Color Transition Methods Image morphing is the construction of an image sequence depicting a gradual transition between two images, has been extensively investigated now a days. 2D image morphing adds animations to the silent photographs which generally communicate limited information. The color transition method used in image morphing decides the quality of the intermediate images generated by controlling the color blending rate. If the color blending is done uniformly throughout the morphing process, good morph sequence is generated. Morph sequence has earlier morphs similar to source and last morphs similar to the target image. The middle image in the entire morph sequence is neither source nor the target image. Hence the quality of morphs depends on the quality of middle images. If it look good then entire sequence looks good. In this paper methods of color transition by averaging the pixels and by merging the color difference between pixels are proposed. The later one generates better quality middle image and entire morph sequence than most commonly used cross dissolve method of color transition.
 Michael Donoser and Dieter Schmalstieg. Discriminative feature-to-point matching in image-based localization.  Ben Glocker, Jamie Shotton, Antonio Criminisi, and Shahram. Izadi. Real-time rgb-d camera relocalization via randomized ferns for ke
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Dong Liang, Jie Yang, Jin4jun Lu, and Yu4chou Chang. Institute of Image Processing and Pattern Recognition,. Shanghai Jiao Tong University, Shanghai 200030, China. Abstract. Weighted Color Co4occurrence Matrix (WCCM) is introduced as a novel feature
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Abstract: AnnoSearch is searching for semantically and visually similar images and extracting annotations from them. In this paper we have proposed AnnoSearch using Content-based image retrieval (CBIR) concept. CBIR deals with the retrieval of most s