This paper is published in Volume-4, Issue-2, 2018
Area
Image Processing
Author
R. Prince, H. Sathish, R. Sai Kumar, V. Karthik, S. Jeya Anusuya, S. P. Vijay Vardhan Reddy
Org/Univ
T. J. S Engineering College, Puduvoyal, Tamil Nadu, India
Pub. Date
06 April, 2018
Paper ID
V4I2-1322
Publisher
Keywords
Camera, Filtering, ANN Technique, Geometric feature extraction, Canny Edge Detector.

Citationsacebook

IEEE
R. Prince, H. Sathish, R. Sai Kumar, V. Karthik, S. Jeya Anusuya, S. P. Vijay Vardhan Reddy. Identification of quality index of fruit/vegetable using Image Processing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
R. Prince, H. Sathish, R. Sai Kumar, V. Karthik, S. Jeya Anusuya, S. P. Vijay Vardhan Reddy (2018). Identification of quality index of fruit/vegetable using Image Processing. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
R. Prince, H. Sathish, R. Sai Kumar, V. Karthik, S. Jeya Anusuya, S. P. Vijay Vardhan Reddy. "Identification of quality index of fruit/vegetable using Image Processing." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

The recent application and development of image analysis in the quality evaluation of products in the field of agricultural and food. Images are the important source of data and information in the agricultural sciences. The basic concepts and technologies associated with computer vision system and automatic vision-based technology, tool used in image analysis and automated sorting and grading are highlighted.The proposed system starts the process by capturing the fruit or vegetable image.Then, the image is transmitted to the processing level where the fruit features like color, shape and size of fruit samples are extracted. After that by using artificial neural network fruit images are going through the training and testing. In this proposed paper, the neural network is used to detect shape, size and color of fruit and with the combination of these three features, the results obtained are very promising.