Medical imaging appliances play a pivotal role in preventive medicine as the industry combat to low patient expense and acquire early disease estimation using nonintrusive methods. There are proprietary software packages which provide fast development for designing image processing algorithms. Another trend is to use open source softwares. With the advancement of VLSI (Very Large Scale Integration) technology, hardware implementation has also become an alternative. Proprietary hardwares provide flexibility, efficient power and timing constraints whereas open source hardwares provide optimum quality and cost constraints. The Present study is useful for image architects, researchers, biologists to learn various proprietary and open sources softwares as well as hardwares utilized for distinct applications of the healthcare industry. 

Image processing is used in every sphere of life such as agriculture, remote sensing, wireless, medical etc. Bi-omedical imaging plays a vital role in the detection of diseases. Without image processing, it is not possible to detect diseases such as cancer, tumors etc. Medical equipment such as ultrasound, MRI, CT scan machine is totally dependent on image processing algorithms. Radiologists utilize these image processing algorithms to detect diseases and abnormalities. Matlab is a proprietary tool which is used by image architects in order to design these algorithms. Image processing algorithms designed using Matlab provides efficiency, accuracy, flexibility and timing constraints. The present paper addresses various image processing algorithms designed using Matlab. The performance of these algorithms is also analyzed visually as well as statistically in order to check the quality of images.