Data fusion is a long term of research in image processing that is becoming more and more relevant owing to the complementary developments of computer and sensory technologies. Although operator research related to soft-computing, specially in the eld of fuzzy systems, has evolved considerably during this last two decades, implemented frameworks of data fusion for image processing take seldom i...

New filters for multichannel image processing are introduced and analysed. The proposed methodology constitutes a unifying and powerful framework for multichannel signal processing. The new filters use fuzzy membership functions based on different distance measures among the image vectors to adapt to local data in the image. Fuzzy aggregators are utilized to determine the weights in the propose...

Sun sensors are widely used in spacecraft attitude determination subsystems to provide a measurement of the sun vector in spacecraft coordinates. At the Jet Propulsion Laboratory, California Institute of Technology, there is an ongoing research activity to utilize Micro Electro Mechanical Systems (MEMS) processes to develop a smaller and lighter sun sensor for space applications. A prototype su...

Image segmentation is an essential and critical process in image processing and pattern recognition. In this paper we proposed a textured-based method to segment an input image into regions. In our method an entropy-based textured map of image is extracted, followed by an histogram equalization step to discriminate different regions. Then with the aim of eliminating unnecessary details and achi...

Thresholding is an important topic for image processing, pattern recognition and computer vision. Selecting thresholds is a critical issue for many applications. The fuzzy set theory has been successfully applied to many areas, such as control, image processing, pattern recognition, computer vision, medicine, social science, etc. It is generally believed that image processing bears some fuzzine...

diabetic retinopathy is one of the most important reasons of blindness which causes serious damage in the retina. the aim of this research is to detect one lesions of the retina, named exudates automatically with image processing techniques. preprocessing is the first step of proposed algorithm. after preprocessing, the optic disc was detected and removed from the retinal image due to the same ...

Image fusion has lots of application in real life to furnish a combined form of many oriented objects of different images into single image. Adaptive Fuzzy logic model with local level processing is a controlling tool to model image characteristics accurately and been successfully applied to a large number of image processing applications. In this paper an adaptive fuzzy logic model have been p...

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...