Use of two-dimensional discrete cosine transform for an adaptive approach to image segmentation

Schahrazad Soltane; Naceur Kerkeni; Jean-Claude Angue

doi:10.1117/12.234730

13 March 1996 Use of two-dimensional discrete cosine transform for an adaptive approach to image segmentation

Schahrazad Soltane, Naceur Kerkeni, Jean-Claude Angue

Proceedings Volume 2666, Image and Video Processing IV; (1996) https://doi.org/10.1117/12.234730
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

We are developing a new statistic method based on the Two-Dimensional Discrete Cosine Transform 2D DCT. This transform is the focus point of the segmentation process which is discussed here. The basic operations are : (1) The image is iransformed from the spatial domain into the frequency domain, (2) The image is treated by blocks. The approach tries to give a detailed description of the image, making easier its following interpretation. it is directed by local indices, using the adapted treatments, selected by criteria of homogeneity and coherence. The method adopted follows a hierarchical step involving three levels. The first level, aims at extracting in a global way, the locations of the edges of the image by eliminating the homogeneous blocks. This treatment is guided by the use of local indices, luminance, energy...etc. At the second level, a classification of the blocks selected in the first phase according to the similariy criterion of the indices (average, variance, entropy...) and aggregation of these blocks allows to create the areas on which we extract the fme details. Their characterisation is made at a very local level. An effective way of characterising the areas is to focus oneself on the attributes that allow the description and characterisation of the texture. However, the study of the texture provides on the image very rich additional information. These allow the selection of the best treatment (edges extraction operators) according to its efficiency, at the quality of its detection and the fineness of the results. Once all the fmer characteristics have been extracted, we merge the results from each area.

Citation Download Citation

Schahrazad Soltane, Naceur Kerkeni, and Jean-Claude Angue "Use of two-dimensional discrete cosine transform for an adaptive approach to image segmentation", Proc. SPIE 2666, Image and Video Processing IV, (13 March 1996); https://doi.org/10.1117/12.234730

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