Determination of Mango Fruit From Binary Image Using Randomized Hough Transform

Mohamed Juhari, Mohamed Rizon and Yusri, Nurul Ain Najihah and Abdul Kadir, Mohd Fadzil and Mamat, Abd. Rasid and Abd Aziz, Azim Zaliha and Nanaa, Kutiba (2015) Determination of Mango Fruit From Binary Image Using Randomized Hough Transform. In: 2015 8th International Conference On Machine vision, 19-21 Novemebr 2015, Barcelona, Spain.

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Abstract

A method of detecting mango fruit from RGB input image is proposed in this research. From the input image, the image is processed to obtain the binary image using the texture analysis and morphological operations (dilation and erosion). Later, the Randomized Hough Transform (RHT) method is used to find the best ellipse fits to each binary region. By using the texture analysis, the system can detect the mango fruit that is partially overlapped with each other and mango fruit that is partially occluded by the leaves. The combination of texture analysis and morphological operator can isolate the partially overlapped fruit and fruit that are partially occluded by leaves. The parameters derived from RHT method was used to calculate the center of the ellipse. The center of the ellipse acts as the gripping point for the fruit picking robot. As the results, the rate of detection was up to 95% for fruit that is partially overlapped and partially covered by leaves.

Item Type: Conference or Workshop Item (Paper)
Keywords: Binary Image, presence of mango fruit, conic sections.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty / Institute: Faculty of Informatics & Computing
Depositing User: abd rasid mamat
Date Deposited: 21 Dec 2015 02:30
Last Modified: 21 Dec 2015 02:30
URI: http://erep.unisza.edu.my/id/eprint/4042

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