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Image processing has been serving as one major part of medical science since 1980s as automation of image analysis offers better results in efficient time period to help specialists in diagnosis and eradication of diseases. Most frequently, medical fields face different cases of detecting tumors, kidney stones, fractures in bones, etc. through various images such as ultrasound images and X-ray images. But it is very difficult for identification of some particular structure in some medical images. Hence, such images need more improvement in terms of noise reduction and segmentation. Image thresholding is a kind of segmentation process which partitions the image into different objects. Particle swarm optimization (PSO) is one bio-inspired optimization technique which gets one optimized threshold value for image thresholding in this paper using proper fitness function.

Abstract.A concept of impulse noise reduction method for an RGB color image with a fuzzy detection phase is introduced and a fuzzy de-noising procedure is used to filter the color image. In this paper, each color component is correlated to the other two corresponding color components to overcome the color disorder on edge and texture pixel. Here the filtering technique is only applied to noisy pixel, detected by fuzzy technique, while preserving the color and edge sharpness. Experimental results show that the proposed method provides noteworthy improvement on other non-fuzzy and fuzzy filters.

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Image processing is most vital area of research and application in field of medical-imaging. Especially it is a major component in medical science. Starting from radiology to ultrasound (sonography), MRI, etc. in lots of area image is the only source of diagnosis process. Now-a-days, different types of devices are being introduced to capture the internal body parts in medical science to carry the diagnosis process correctly. However, due to various reasons, the captured images need to be tuned digitally to gain the more information. These processes involve noise reduction, segmentations, thresholding etc. . Image segmentation is a process to segment the target area of image to identify the area more prominently. There are different process are evolved to perform the segmentation process, one of which is Image thresholding. Moreover there are different tools are also introduce to perform this step of image thresholding. The recent introduced tool PSO is being used here to segment the MRI scans to identify the brain lesions using image thresholding technique.