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中文摘要：
在自然场景下,利用果实自身颜色特性进行图像识别对于提高识别效率和实时性具有重要作用。该文采用1.375作为R/B的分割阈值,对80幅成熟期苹果图像进行识别,其识出率、识别成功率、误识率和漏识率分别为98.3%、86.1%、12.4%、13.9%;在此基础上,加入0.45作为V的分割阈值,其识出率、识别成功率、误识率和漏识率分别为90.3%、84.9%、6.0%、15.1%,由此可见,基于R/B值和V值的混合颜色空间识别方法,在小幅降低识别成功率的情况下大幅降低误识率。通过进行顺光弱光照条件、顺光中光照条件、顺光高光照条件、逆光弱光照条件、逆光中光照条件、逆光高光照条件下的识别测试,结果表明顺光中等光照条件下的识出率和识别成功率最高,分别为91.7%和87.7%,漏识率最低为12.3%;不同光照条件下的识别成功率存在差异,但不明显。
英文摘要：
Image recognition with fruit color character in natural scene plays an important role for efficient and real-time recognition.Eighty images were recognized with an R/B segment threshold of 1.375.The rates of detection,successful recognition,false recognition and missing recognition were 98.3%,86.1%,12.4% and 13.9% respectively.Furthermore,the above rates were 90.3%、84.9%、6.0% and 15.1% with an additional V segment threshold of 0.45.The comparison results showed that although the rate of successful recognition decreases slightly,the rate of false recognition fell remarkably.A series of test were executed under direct sunlight with strong,medium and weak illumination,and backlighting with strong,medium and weak illumination.The results showed that the rate of detection and successful recognition were the highest of 91.7% and 87.7%,and the rate of miss recognition was the lowest of 12.3% under direct sunlight and medium illumination.The rates of successful recognition in various conditions were different,but not significant.
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