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M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 3 Issue 6, June 2014

Evaluation of Segmentation Algorithms for Apple Fruit Grading

Aarti Abasaheb Sawant | V. N. Kshirsagar

Abstract: In recent years; wide range of image segmentation applications are present in agriculture; industry; military and medical fields. Fruit grading system is one of them. Fruit grading technique will grade the fruits using their shapes; color and outer look. This emphasizes the necessity of image segmentation which extracts important features from an image. This paper consist of analysis of different segmentation algorithms for detecting damage part of fruit. Marker based watershed algorithm uses powerful morphological tool to extract region of interest from an image. Quadtree and merge algorithm divides an image within a complete tree representation and then merge the regions based on some criteria. Seed region growing algorithm selects the seed point and grows the region according to pre-defined criteria. The comparison of the present approach in terms of the measures like energy; discrete entropy; relative entropy; mutual information; normalized mutual information and redundancy is also carried out.

Keywords: Fruit grading, Image segmentation, Marker based watershed algorithm, Quadtree and merge algorithm, Seed region growing algorithm

Edition: Volume 3 Issue 6, June 2014,

Pages: 2331 - 2335

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