A Fruit Detecting and Grading System Based on Image Processing-Review

Abstract: This work presents a literature review study for fruit detecting and grading system based on image processing techniques. Different types of algorithms are available to extract feature of fruit characters by capturing the fruit image. With the help of this feature fruit is detected and graded according to quality of fruit this can be done using different types of classifier. The grading system has the advantage of high accuracy, high speed and low cost. It will have a good scene of application in fruit quality detecting and grading areas. This work aimed to study different types of algorithms used for quality grading to developed an algorithm for detecting and sorting of fruit from the acquire image. The feature such as morphological feature is used and colour can be extracted which is further more used to identify class of the fruit using neural network.

Keywords: Fuzzy logic Image processing, computer vision, histogram, artificial neural network, fuzzy logic, support vector machine.