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Feature Based Fuzzy Rule Base Design for Image Extraction by Mondal, Koushik; Dutta, Paramartha; Bhattacharyya, Siddhartha is a scholarly article available to read on EtoBox.

What is Feature Based Fuzzy Rule Base Design for Image Extraction about?

In the recent advancement of multimedia technologies, it becomes a major concern of detecting visual attention regions in the field of image processing. The popularity of the terminal devices in a heterogeneous environment of the multimedia technology gives us enough scope for the betterment of image visualization. Although there exist numerous methods, feature based image extraction becomes a popular one in the field of image processing. The objective of image segmentation is the domain-independent partition of the image into a set of regions, which are visually distinct and uniform with respect to some property, such as grey level, texture or colour. Segmentation and subsequent extraction can be considered the first step and key issue in object recognition, scene understanding and image analysis. Its application area encompasses mobile devices, industrial quality control, medical appliances, robot navigation, geophysical exploration, military applications, etc. In all these areas, the quality of the final results depends largely on the quality of the preprocessing work. Most of the times, acquiring spurious-free preprocessing data requires a lot of application cum mathematical in

Author

Mondal, Koushik; Dutta, Paramartha; Bhattacharyya, Siddhartha

Published

2012

Language

EN