Quality Identification of Tomato using Image Processing Techniques
In agricultural and horticulture, image processing is one of the widely used applications. In this paper, automated
quality identification using some image processing techniques is there that can be done using some image features which
help in quality detection of vegetables like Shape, colour and size. This research work presents identification of good and
bad vegetable is focused on the image processing techniques like segmentation and classification. First extract certain
features from the input vegetable image, later using different method like thresholding, segmentation using k-means
clustering and classification using SVM (Support Vector Machine) and ANN (Artificial Neural Network). It gives results in
terms of accuracy in percentage.
Keywords - Quality Identification, Image Acquisition, Image Preprocessing, k- means clustering, SVM, ANN.