Integration of Feature Distributions for Colour Texture Segmentation and Its Applications
نویسندگان
چکیده
This paper proposes a framework for colour texture segmentation. The framework uses the colour and the texture distributions for discriminating the colour textured regions. The proposed colour texture segmentation method was tested in three different applications. The applications includes Irish Script on Screen (ISOS) images, skin cancer images and Sediment Profile Imagery (SPI). Image textures are used in combination with colour features for the segmentation of the colour textured regions in the document, to identify the diseased area in the skin cancer images and to segment underwater images. The inclusion of colour and texture as distributions of regions provide a good discrimination of the colour and the texture. The experimental results proved that the framework is effective and efficient.
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