Fruit Sorting Based On Image Processing

Mashirnani, mohd Tahir (2012) Fruit Sorting Based On Image Processing. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

In implementing harvesting robot one of the critical point is vision of the robot. Thus in this project focus will be in image processing to detect and segment image of fruits from its environment. In detecting and segmenting of possible fruits image, an image is first captured and stored in fundamental of three layers colour system known as RGB colour space. The method applied in this paper will be converting the colour space into HSV plane, generate hue histogram, obtain benchmarking pixel from hue histogram, colour segmentation using benchmarking method, region classification based on pixel area of detected from colour segmentation and range estimation for different images pertaining to their distance from cameras. The result of this project will be on colour detection, area classification and both systems combined. The accy ofthissystem achieved &7.5 o/9-of detection for 8 experimental images.

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