Asian Journal of Research in Social Sciences and Humanities
Year : 2016, Volume : 6, Issue : cs1
First page : ( 357) Last page : ( 367)
Online ISSN : 2249-7315.
Article DOI : 10.5958/2249-7315.2016.00969.2

Region based Color Histogram Approximation Technique for Classification of Fruit Images and Fruit Grading

Anurekha D, Dr. Sankaran R. A.

Salem College of Engineering and Technology, Salem, Tamilnadu, India.

Online published on 15 September, 2016.

Abstract

The problem of color image classification has been studied in number of research articles and the same can be applied to the problem of fruit image classification and fruit grading. There are many methods has been deliberated for the problem of fruit grading but suffers with the problem of poor classification accuracy and fruit grading. The proposed region based color histogram approximation technique enhances the input image for its clarity using histogram equalization technique at the first stage. In the second stage, the method splits the image in to number of sectional images and extracts the features of each region. From the regional feature extracted in the second stage, the method computes the histogram of the regional feature. The extracted regional histogram will be indexed as the training set and the same will be iterated for the input image. Finally the method performs histogram approximation by computing the sectional similarity between each trained vectors. Using computed sectional similarity the method computes the fruit class weight to classify the image towards number of fruit classes. The method has produced efficient results in fruit classification and increases the efficiency of fruit grading.

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Keywords

Fruit Classification, Fruit Grading, Image Classification, Regional Histogram.

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