In this paper, we describe the Image Filtration through Fuzzy Logics in four different scenarios of Image Input as 3*3,9*9, 17*17 and 25*25 division blocks and iterating fuzzy equation on it for 2 and 8 times at constant amplification factor of 10. The input image selected for analysis is PGM (Portable Gray Map), dividing input images into matrix of m*n blocks. The input image is analyzed for m...

It is difficult to identify the abnormalities in brain specially in case of Magnetic Resonance Image brain image processing. Artificial neural networks employed for brain image classification are being computationally heavy and also do not guarantee high accuracy. The major drawback of ANN is that it requires a large training set to achieve high accuracy. On the other hand fuzzy logic technique...

In this paper, different approaches are discussed for medical image segmentation. These are based on thresholding, learning, modeling and automatic fuzzy method. Segmentation techniques, discussed under these approaches are used in different applications. In identification of brain lesions, vessel lumen segmentation and histopathology cancer image segmentation. Further used in tissue segmentati...

Contrast enhancement is one of the most important issues of image processing, pattern recognition and computer vision. The commonly used techniques for contrast enhancement fall into two categories: (1) indirect methods of contrast enhancement and (2) direct methods of contrast enhancement. Indirect approaches mainly modify histogram by assigning new values to the original intensity levels. His...

This paper proposes a short overview of models and methods based on fuzzy sets for image processing and image understanding, from low level to higher level interpretation. Recent trends are highlighted. © 2015 Elsevier B.V. All rights reserved.

In this research paper, a novel system has been designed which is using two discipline of Computer science area which are Artificial intelligence and image Processing. Fuzzy sets and logic has been chosen from AI and image classification, filtering, matching & rendering has been used from IP. The rendering of the image has been done as per the specification given by the patient and then backend...

The unmanned automatic vehicles are important elements in industrial application, such as unmanned carriers in warehouse. The mechanical vision replaces the human’s eyes to be the feedback component. By the image processing, the necessary information can be figured out. However, due to the complicate calculation of image process, it will take a long calculation time from fetching image to makin...

Introduction Object-oriented approaches to remotely sensed image processing have become increasingly popular with the growing amount of high-resolution satellite and airborne imagery. Several studies have shown that segmentation techniques can help to extract spatial objects from an image. Uncertainty, however, will be present in any segmented image and can have a significant effect on further ...

the pioneer work of image compression/reconstruction based onfuzzy relational equations (icf) and the related works are introduced. theicf regards an original image as a fuzzy relation by embedding the brightnesslevel into [0,1]. the compression/reconstruction of icf correspond to thecomposition/solving inverse problem formulated on fuzzy relational equations.optimizations of icf can be consequ...