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Application of image segmentation in mango fruit analysis using Hough transform

Author Affiliations

  • 1Department of Electronics and Telecommunication Engineering, Bhilai Institute of Technology, Durg-491001, Chhattisgarh, India
  • 2Department of Electronics and Telecommunication Engineering, Bhilai Institute of Technology, Durg-491001, Chhattisgarh, India

Res. J. Engineering Sci., Volume 6, Issue (7), Pages 25-29, August,26 (2017)


In recent years, Image processing tools havebeen broadly utilized as a part of the agronomic field. The mango fruit classification and identification are valuable in the grocery stores and can likewise be used in enterprises for the programmed sorting of fruits from a set comprising of various sort of fruits for picking fruits. The majority of it connected to the robot that can be utilized for picking foods grown from the ground examination vehicle. Identification and classification is a noteworthy test for the computer vision to accomplish close human levels of recognition. In this field, identification and classification of mango fruits utilizing image processing comprise of for the mainly three noteworthy steps i.e. background subtraction, feature extraction, and classification. The performance of this system mainly depends on background subtraction of mango fruit from images with clutter background, shadows, and shadings. To deal with this challenge, an efficient and precise segmentation method is required. The shapes of the object are significant features applied for content representation and require good segmentation to detect objects. To deal with this problem, the segmentation method using Hough Transform is implemented in this work, which can detect the shape of a mango. MATLAB have been used as the programming tool to implement and investigate the performance of the segmentation method using image processing toolbox.


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