DETERMINATION OF WATERMELON WEIGHTING USING ELLIPSE AREA APPROXIMATION BY IMAGE PROCESSING
Keywords:
image processing, watermelon grade standardAbstract
Abstract
The development of a new design for a weighing and measuring system for watermelons using digital image processing aims to create a system that can weigh and inspect the size of watermelons, which are elliptical in shape, to provide information about both size and quality for consumers' purchasing decisions. One of the challenges in watermelon grading is the difficulty in detecting imperfections in the flesh, which cannot be seen with the naked eye. To address this challenge, the proposed system was designed to take into account the primary factors for grading watermelons, including size and weight, using only image processing and without the need for a traditional weighing machine. During the image processing stage, a color image is obtained from a webcam and converted to a black and white image. The black pixel area, which represents the size of the watermelon, is counted in a 720 x 1720 pixel 2D-image. To evaluate the accuracy of the system, 30 watermelons were weighed and their estimated weight was compared with the actual weight obtained through image processing. The results of this research will provide insights into the accuracy of the proposed method in estimating watermelon weight and determining the quality of the flesh density, which will be compared with the standard for trading.
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