Nowadays, image analysis plays a key role in processing of the medical images such as retinal image, cardiac image and brain MRI images in bio-medical field. Medical Image Segmentation (MIS) is a process of obtaining the different intensity levels of the image and extracting the features for analysis. Some of the existing algorithms are capable of extracting a section of image but not able to find an optimum threshold for image segmentation. So, a novel image segmentation algorithm with different thresholds is based on Genetic Algorithm (GA) on Field Programmable Gate Array (FPGA) has been introduced in this paper. Here the optimum threshold values are used to segment the same image as well as similar kind of images, which is obtained from same kind of biomedical imaging instruments. The proposed FPGA architecture for image segmentation is time as well as power efficient algorithm.
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