In the classical image processing paradigm, the fundamental idea of image enhancement is to produce a new image such that it exposes information for analysis more than the original image. Fuzzy Logic methods are one of valuable and frequently used techniques among many other image enhancement approaches. In this work we demonstrate that a type-2 fuzzy logic system is able to perform image contr...

image segmentation is an important task in image processing and computer vision which attract many researchers attention. there are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. markov random field (mrf) is a tool for modeling statistical and structural inf...

Human-based quality control reduces the accuracy of this process. Also, the speed of decision making in some industries is very important. For removing these limitations in human-based quality control, in this paper, the design of an expert system for automatic and intelligent quality control is investigated. In fact, using an intelligent system, the accuracy in quality control is increased. It...

Various Edge detection algorithms have been proposed in the literature for extracting the edges from the image. But after emerging the fuzzy logic concept, a lot of Researcher of image processing has been shifted towards the fuzzy logic and its applicability in the field of image processing. This paper presents a fuzzy rule base algorithm, in MATLAB environment, which is capable of detecting ed...

With some modifications, we adopt the coding/decoding method of image processing based on the direct and inverse fuzzy transforms defined in previous papers. By normalizing the values of its pixels, any image can be considered as a fuzzy matrix (relation) which is subdivided in submatrices (possibly square) called blocks. Each block is compressed with the formula of the discrete fuzzy transform...

The function for spatial queries has been provided in some image retrieval systems for finding images satisfying given spatial relations. However, images themselves may contain ambiguity or the image processing technologies adopted may extract objects not accurately enough. Processing image queries in a flexible way is thus desired. In this paper, we thus propose a fuzzy image matching algorith...

In image analysis and pattern recognition fuzzy sets play the role of a good model for segmentation and classifications tasks when the regions and the classes cannot be strictly defined. One of the most widely used fuzzy approaches in image processing is fuzzy mathematical morphology because of the underlaying structure of complete lattices. Thus, mathematical morphology is used mainly in proce...

Traffic light plays an important role in the urban traffic management. Therefore, it is necessary to improve the traffic controller for effective traffic management and better traffic flow leading to greener environment. In this paper, an advanced and intelligent traffic light controller is proposed, utilising the fuzzy logic technology and image processing technique. A fuzzy logic control has ...

This paper describes an adaptive filtering approach for multichannel image processing. We present a general formulation based on rational functions (RF) and fuzzy concepts using fuzzy transformations, which allows the use of adaptive weights in the filtering structure, and we discuss different filter designs. Simulation results illustrate the strong potential of the new adaptive fuzzy filters f...