Colour Image Segmentation Using Homogeneity Method and Data Fusion Techniques
نویسندگان
چکیده
منابع مشابه
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...
متن کاملColor Image Segmentation Using a Modified Fuzzy C-means Method and Data Fusion Techniques
In this paper, a new color image segmentation method based on modified Fuzzy c-means and data fusion techniques is presented. The proposed segmentation consists in combining many realizations of the same image, to gether, in order to increase the information quality and to get an optimal segmented image. In the first step, the membership degree of each pixel is determined by applying fuzzy c-me...
متن کاملClustering techniques in colour image segmentation
In this paper, five clustering techniques (k-means, ISODATA, merging, splitting and mean shift techniques) used for colour image segmentation are presented. Two heuristic evaluation methods (cluster validity measure VM and quality function Q) are applied. We show that evaluation functions VM and Q can be very helpful in search of best segmentation results. The best results came from k-means, me...
متن کاملColour Image Segmentation using Texems
We present two methods to perform colour image segmentation using a generative threedimensional model that is based on the assumption that an image can be generated through an overlapped placement of a few primitive, exemplar image patches, i.e. texems. Multiscale analysis is used in order to capture sufficient image features and pixel neighbourhood interactions at relatively lower computationa...
متن کاملUnsupervised image segmentation using local homogeneity analysis
In this paper, a novel method is presented for unsupervised image segmentation based on local homogeneity analysis. First, a criterion for homogeneity of a certain pattern is proposed. Applying the criterion to local windows in the original image results in the “H-image”. The high and low values of the H-image correspond to possible region boundaries and region interiors respectively. Then, a r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2009
ISSN: 1687-6180
DOI: 10.1155/2010/367297