Feature Extraction in Image Processing using Medical Scans: Detailed Survey

An important area of research in computer vision is feature extraction algorithms for image processing, which is the focal point of this paper's analysis. In the field of visual management, feature extraction and its representation serve an important role. It can focus on desirable details that may represent the image's inherent meaning. The examined image has undergone a variety of image pre-processing techniques, such as Data Cleaning, Histogram Equalization, Skull Striping, Binarization, Feature Scaling, etc. before acquiring features about the particular medical scans. After that, feature extraction techniques are applied to obtain specific features that will be useful for the analysis of image scans. Thus, the approaches utilized for shape, texture, color and appearance-based feature extraction are the main subjects of our investigation in this paper.