Image segmentation towards new image representation methods |
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Authors: | Diogo Cortez Paulo Nunes Manuel Menezes de Sequeira Fernando Pereira |
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Affiliation: | Instituto Superior Técnico, Secção de Telecomunicações, Av. Rovisco Pais, 1096, Lisboa Codex, Portugal |
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Abstract: | Very low bit-rate video coding has recently become one of the most important areas of image communication and a large variety of applications have already been identified. Since conventional approaches are reaching a saturation point, in terms of coding efficiency, a new generation of video coding techniques, aiming at a deeper “understanding” of the image, is being studied. In this context, image analysis, particularly the identification of objects or regions in images (segmentation), is a very important step. This paper describes a segmentation algorithm based on split and merge. Images are first simplified using mathematical morphology operators, which eliminate perceptually less relevant details. The simplified image is then split according to a quad tree structure and the resulting regions are finally merged in three steps: merge, elimination of small regions and control of the number of regions. |
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Keywords: | Image segmentation Image representation Very low bit-rate video coding Image simplification Split and merge Mathematical morphology |
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