The problem of segmentation is an important research field and often a critical and decisive preprocessing step for many image processing applications. During the past years, the use of colour images instead of gray images is growing fast in many research areas. Moreover, the use of segmentation over colour images is advised when additional colour information conveyed is necessary to further di...

land cover information is one of the most important prerequisite in urban management system. in this way remote sensing, as the most economic technology, is mainly used to produce land cover maps. considering the complicated and dense urban areas in third world countries, object based approaches are suggested as an effective image processing technique. the purpose of this paper are the introduc...

In this recent period, the image processing plays a key function in different fields of engineering and Research. Perhaps to increase the effectiveness of this field, quality of an image should be enhanced to support the human sensitivity or machine visualization. The contrast of an image is defined as difference of gray levels presented in the image. There are a number of conventional methods ...

Image segmentation, which is an important stage of many image processing algorithms, is the process of partitioning an image into nonintersecting regions, such that each region is homogeneous and the union of no two adjacent regions is homogeneous. This paper presents a novel pixon-based algorithm for image segmentation. The key idea is to create a pixon model by combining fuzzy filtering as a ...

The problem of segmentation in spite of all the work over the last decades, is still an important research field and also a critical preprocessing step for image processing, mostly due to the fact that finding a global optimal threshold that works well for all kind of images is indeed a near impossible task that, probably, will never be accomplished. During the past years, fuzzy logic theory ha...

Image compression technology is to compress the redundancy between the pixels to reduce the transmission broadband and storage space by using the correlation of the image pixels. Fuzzy neural network effectively integrates neural network technology and fuzzy technology; combines learning, selfadaptivity, imagination and identity and uses rule-based reasoning and fuzzy information processing in ...

Fuzzy quantifiers, i.e. operators intended to provide a numerical interpretation of natural language (NL) quantifiers like ‘almost all’, are valuable tools for image processing, in particular to express accumulative (second order) properties of fuzzy image regions. However, approaches to fuzzy quantification will unfold their full potential only if the proposed operators capture the meaning of ...

1 Janakiraman.S, 2 J.Gowri Pondicherry University, Puducherry, India Research Scholar, Bharathiar University, Coimbatore, Tamil Nadu, India _________________________________________________________________________________________ Abstract: The fuzzy technique is an operator introduced in order to simulate at a mathematical level the compensatory behavior in process of decision making or subject...