CAJ | 학술논문

研究了宫川温州蜜柑糖度及有效酸度的机器视觉检测技术及影响检测精度的因素.对机器视觉系统采集的柑橘图像进行图像裁切、亮度法去图像背景和RGB空间至HSI空间的转换,将柑橘色调范围分割为0°～20°、20°～40°、40°～60°、60°～80°、80°～100°和100°～120°共6个区域,提取各区域色调分形维数,以此作为BP神经网络输入,无损检测宫川温州蜜柑糖度及有效酸度.167个测试样本的检测结果表明:在±1.5°Brix精度范围内糖度正确识别率为66.6175%,在±0.5精度范围内有效酸度正确识别率为73.9275%.宫川温州蜜柑糖度及有效酸度与果皮色调分形维数之间具有相关性,可用机器视觉检测其糖度及有效酸度.
연구료궁천온주밀감당도급유효산도적궤기시각검측기술급영향검측정도적인소.대궤기시각계통채집적감귤도상진행도상재절、량도법거도상배경화RGB공간지HSI공간적전환,장감귤색조범위분할위0°～20°、20°～40°、40°～60°、60°～80°、80°～100°화100°～120°공6개구역,제취각구역색조분형유수,이차작위BP신경망락수입,무손검측궁천온주밀감당도급유효산도.167개측시양본적검측결과표명:재±1.5°Brix정도범위내당도정학식별솔위66.6175%,재±0.5정도범위내유효산도정학식별솔위73.9275%.궁천온주밀감당도급유효산도여과피색조분형유수지간구유상관성,가용궤기시각검측기당도급유효산도.
Non-destructive detection methods of sugar content and valid acidity of Gongchuan Wenzhou citrus fruits were investigated based on computer vision.Factors which influenced the accuracy of detection were studied.Citrus fruit images from computer vision system were cut, the background was removed and conversion from RGB to HSI space was made.These images were segmented according to hue value ranges which are 0°～20°, 20°～40°, 40°～60°, 60°～80°, 80°～100° and 100°～120° hue.Fractal dimensions of each segment were calculated as inputs of BP neural network which modeled sugar content and valid acidity of citrus fruits.Results of 167 test samples showed the correctness for accuracy ±1.5°Brix of sugar content is 66.6175%, for valid acidity, the correctness for accuracy ±0.5 is 73.9275%.From these results it concluded that sugar content and valid acidity of Gongchuan Wenzhou citrus fruits has significant correlation with fractal dimension of hue value of fruit pericarp.Computer vision can be utilized to non-destructively detect these two parameters.