A Detailed Survey On Feature Extraction Techniques In Image Processing For Medical Image Analysis
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 10, Pages 2275-2284
AbstractFeature Extraction assumes a significant function in the region of picture handling. Before getting Features, different picture pre-processing strategies like binarization, thresholding, resizing, standardization and so forth are applied on the inspected picture. From that point onward, Feature extraction methods are applied to get Features that will be helpful in arranging and acknowledgment of pictures. Feature extraction strategies are useful in different picture handling applications for example character acknowledgment. As Features characterize the conduct of a picture, they show its place regarding capacity taken, proficiency in arrangement and clearly in time utilization moreover. Here in this paper, we will talk about different kinds of Features, include extraction procedures and clarifying in what situation, which Features extraction method, will be better. Thus, in this paper, we will mention Features and Feature extraction strategies if there should be an occurrence of character identification application.
- Article View: 114
- PDF Download: 137