Soft Computing is an emerging field that consists of complementary elements of fuzzy logic, neural computing and evolutionary computation. Soft computing techniques have found wide applications. One of the most important applications is image segmentation. The process of partitioning a digital image into multiple regions or sets of pixels is called image segmentation. Segmentation is an essential step in image processing since it conditions the quality of the resulting interpretation. Lots of approaches have been proposed and a dense literature is available In order to extract as much information as possible from an environment, multicomponent images can be used. In the last decade, multicomponent images segmentation has received a great deal of attention for soft computing applications because it significantly improves the discrimination and the recognition capabilities compared with gray-level image segmentation methods. In this paper, the main aim is to understand the soft computing approach to image segmentation.

No abstract

The hyperfine coupling constants A on p. 3 of NaFe 4 Sb 12 are too large by a factor of 10. This error comes from the conversion of units (kOe and T). The correct hyperfine coupling constants are determined to be A 1 ÿ1:449 kOe= B above T C and A 2 ÿ1:155 kOe= B below T C . We apologize for this error and any confusion that they may have caused. The results and conclusions of our Letter remain unaffected.

No abstract

No abstract