期刊名称：Advance Journal of Food Science and Technology
印刷版ISSN：2042-4868
电子版ISSN：2042-4876
出版年度：2016
卷号：10
期号：1
页码：12-17
DOI：10.19026/ajfst.10.1744
出版社：MAXWELL Science Publication
摘要：In this study, we propose a method of fruit color recognition based on multiple classifier combination. Firstly, color type is defined based on human eye sensation and then HSV color space and classification algorithms are adopted via statistical of large fruit samples. For distinguished fruit color types, support vector machine algorithm is used for classification. After generating prior probability and class conditional probability, maximum posterior probability is computed based on Bayesian classifier to identify color types for less-distinguishable colors type. At Last support, vector machine and Bayesian classifier are combined to form a decision tree, which is then simplified to binary classifier problem. Experiment results show that average recognition rate of fruit color is about 86.5%.
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