Recent advances in medical imaging modalities such as magnetic resonance (MR) imaging and multidetector computed tomography (MDCT) enable us to acquire high-dimensional, sectional, thin-sliced, and a large number of images within a short acquisition time. The sheer volume of data poses great challenges for human interpretation of images by radiologists. Image processing becomes essential to ana...

Image filtering, which removes or reduces noise from contaminated images, is an important task in image processing. This study deals with evolutionary design of image filters that can be implemented on evolvable hardware platforms using fuzzy noise models. Two fuzzy sets, similarity and divergence, are defined for classifying noise. Three filtering modules for pixels with various degrees of noi...

This paper deals with the fault severity detection and diagnosisof induction motor fault based on image processing using particle analysis. Index of compactness and distance between xc coordinate of gravity center of the region and x coordinate of the mean upper point of the region (dist_xc_tlr) are two features extracting by image processing. Using the fuzzy logic strategy, a better understand...

one of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. several edge detectors have been developed in the past decades, although no single edge detector...

Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...

Medical diagnosis is one of the most important significant applications of computer science. Knowledge based system is to produce intelligent machine or software which emulate human being’s intelligence. Integration of artificial Intelligence and knowledge based systems leads to a new technology. Application of knowledge based system has been aptly applied to make diagnosis process easier and f...

This paper presents the development of a level control system using 3D machine vision techniques based on a single leveldetector sensor (Kinect), in an arrangement of three tanks. Using image processing algorithms, each one of the tanks is classified within the video sequence as well as each one of the depth measurements is averaged regarding the cross sectional area of the surface of the tanks...

as the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. this processing comprises two fundamental and critical steps towar...

Image enhancement is a process of improving the quality of image by improving its feature. Contrast enhancement is one of the challenging and interesting area of image processing. Image enhancement plays a vital role in medical images, aerial image, microscopic images, even real life photographs, all these suffers from poor contrast and noise. Uncertainty present in the images can be handled an...

Many image processing applications involve a pattern classification stage. In this paper we propose a classifier based on fuzzy if–then rules that allows the incorporation of weighted training patterns which can be used to adjust the sensitivity of the classification with respect to certain classes. The antecedent part of fuzzy if–then rules are specified by partitioning each attributes into fu...