A survey on various image analysis techniques

Abstract

The image processing area has become increasingly important in real-time applications in the current world. Such image processing techniques assist in carrying out processes on digitized images in order to deliver superior results. There are a variety of algorithms for data classification, some of which are rule-based and others which are learning-based. Various image analysis techniques and related challenges in the medical field are investigated in this research. This paper presents effective strategies for overcoming the limitations of image analysis approaches, as well as a brief discussion of image pre-processing before focusing on Image Classification and Segmentation. Our research can help readers learn more about many aspects of medical image analysis. This paper will review the most relevant studies on this topic to date and will describe existing image analysis methods for Data Preprocessing, Image Classification, and Image Segmentation. Image analysis will help readers understand how to increase the performance of their models and expand constrained datasets to take use of the possibilities of other data sets.