IDENTIFYING THE QUALITY OFTOMATOES IN IMAGE PROCESSINGUSING MATLAB

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

R.Kalaivani¹  S. Muruganand¹  Azha.Periasamy¹ 

[1] Dept. of Electronics and Instrumentation, Bharathiar University

关键词: Image Acquisition;    Pre-processing;    Segmentation;    feature extraction;    feature training;    feature matching.;   

来源: Research & Reviews

【 摘 要 】

The ability to identify the tomatoes based on quality in the food industry which is the most important technology in the realization of automatic tomato sorting machine in order to reduce the work of human and also time consuming. This work presents a hierarchical grading method applied to the tomatoes. In this work the identification of good and bad tomatoes is focused on the methods using MATLAB. First we extract certain features from the input tomato image, later using different method like thresholding, segmentation, k-means clustering and thus we get related databases. Comparing several trained databases, we get a specific range for the good and bad tomatoes. From the proposed range we can identify the good and bad tomatoes. Thus this paper analysis the good and bad tomatoes with a very high accuracy successfully using image processing.

【 授权许可】

Unknown