A New Method for Colour Image Segmentation

Colour Image Segmentation a Survey

Image segmentation, i.e., identi cation of homogeneous regions in the image, has been the subject of considerable research activity over the last three decades. Many algorithms have been elaborated for gray scale images. However, the problem of segmentation for colour images, which convey much more information about objects in scenes, has received much less attention of scienti c community. Whi...

Multiresolution Colour Image Segmentation

Robust Colour Image Segmentation

In this paper, we present a new method for segmenting a colour image into homogeneous regions. This method uses the discriminant properties of the three perceptual colour attributes : the hue H, the saturation S and the value V. In a preliminary step, each pixel is classiied according to a chromaticity degree which characterises its belonging to a colour space zone whose chromatic components ar...

Fuzzy C-Means method for Colour Image Segmentation with L*U*V* Colour transformation

Fuzzy c-means clustering method for segmenting even the colour images is dealt with this work. Here the seegmentation method is based on a basic region growing method and uses membership grades’ of pixels to classify pixels into appropriate segments. The methodology incorporates the property of utilizing the extended feature space of an image to obtain better segmentation. Images which are in R...

Colour Image Segmentation Using Homogeneity Method and Data Fusion Techniques

A novel method of colour image segmentation based on fuzzy homogeneity and data fusion techniques is presented. The general idea of mass function estimation in the Dempster-Shafer evidence theory of the histogram is extended to the homogeneity domain. The fuzzy homogeneity vector is used to determine the fuzzy region in each primitive colour, whereas, the evidence theory is employed to merge di...