Detection Segmentation and Noise Removal Process of Cancerous Image Cell of Liver Through Modified Marker-Controlled Watershed Approach
摘要
We know that CT scan, MRI and X-rays scan processes are there in medical image analysis to identifying the disease but from them also sometime we don’t get the clear and detailed information. Various studies have been presented and developed methods. Not effecting the idea of previous studies this study is going to represent a new way of seeing the segmentation approach through improved marker-controlled approach with the help of Sobel edge detection method to develop a new model of analysis the medical image so that we can get the less segmented image to reduce the noise coming from unprocessed image and get a clear view of bio-medical image. The process would help in early detection of cancer cells and helps in spreading it to other part with the help of proper diagnosis. This study also proposed the statistical analysis of images of which will receive after the proposed algorithm applied.