“A Survey Paper On Image Processing: For Real-time Fruit Quality Detection” A Literature review

Abstract: Fruit Analysis through image processing is a method applied for detecting the detection of fruits by a given algorithm. This project is also applied in detecting the defected fruit among a set of fruits by the image processing method. The aim of this task is to avoid health risks by consuming that defected fruit. This processing method goes through various steps for the classification and forecasting of the defective fruit. This paper provides a comprehensive overview of different techniques i.e., preprocessing, segmentation, feature extraction, a designation which termed fruits and vegetable quality in terms of color, texture, size, shape, and defects. In this paper, a comparative analysis of another algorithm suggested by researchers for the quality testing of fruits has been conducted.

Keywords: Image processing, Machine Learning, Deep Learning, CNN, Decision Tree Classifier.