Efficient Enhancement of Hepatic and Splenic Carcinoma in Canine using Image Processing

摘要

Image processing finds application in many fields, especially in the field of biomedical engineering for tumor and cancer detection. Research has been going since a very long time for identification of different types of cancer in humans and the research is still on its path. However, pathologic detection of hepatic and splenic cancer in canine is very costly and diagnosing becomes a tedious task in many cases. So, a cost effective and easier technique has to be developed in order to detect the cancer and start the treatment. Here image processing techniques are made use to pre-process the cancer-causing cells in dogs using ultrasonic (US) images. The proposed system frame work consists of image pre-processing stage where enhancement of the raw image is aimed. Here different image enhancement algorithms are applied, of which the best algorithm is selected based on the evaluation parameters like PSNR, SNR, MSE, RMSE.