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基于类球形亮度变换的水果表面缺陷提取

DOI: 10.6041/j.issn.1000-1298.2012.12.034, PP. 187-191

Keywords: 苹果,机器视觉,图像处理,类球形亮度变换,表面缺陷

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Abstract:

针对基于机器视觉技术的水果表面缺陷因受到亮度不均影响而提取困难的问题,以阿克苏苹果为研究对象,采用可见-近红外双CCD成像系统,设计了一种无需预先建模的类球形亮度变换方法,对R分量图像进行亮度变换,变换后的图像使整个水果表面正常区域灰度趋于一致,而缺陷区域依然保留为低灰度区,增强了缺陷和正常果皮的对比度,提高了缺陷检测精度。使用共计100个样本评估算法的可行性,其中45个缺陷果的检测精度为93.3%,55个正常果的检测正确率为100%,整体检测精度达到97%。研究结果表明,利用基于类球形亮度变换结合单阈值分割方法提取水果表面缺陷是可行的。

References

[1]  V. Leemans ;M.-F. Destain,A real-time grading method of apples based on features extracted from defects,Journal of Food Engineering?,2004, 61(1).
[2]  J. Blasco ;N. Aleixos ;E. Molto,Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm,Journal of Food Engineering?,2007, 81(3).
[3]  Xing J,Baerdemaeker J D,Bruise detection on \'Jonagold\' apples using hyperspectral imaging,Postharvest Biology and Technology,2005(2).
[4]  Tao Y,Wen Z,An adaptive spherical image transform for high-speed fruit defect detection,Transactions of the ASAE,1999(1).
[5]  付峰,应义斌..球体图像灰度变换模型及其在柑桔图像校正中的应用[J].农业工程学报,2004,(04):117-120.doi:10.3321/j.issn:1002-6819.2004.04.026.
[6]  Gomez-Sanchis J,Molto E,Camps-Valls G,Automatic correction of the effects of the light source on spherical objects:an application to the analysis of hyperspectral images of citrus fruits,Journal of Food Engineering,2008(2).
[7]  Haff R,Saranwong S,Kawano S,Methods for correcting morphological-based deficiencies in hyperspectral images of round objects,Journal of Near Infrared Spectroscopy,2011(6).
[8]  Smith W J,Modern optical engineering-the design of optical system,New York:McGraw-Hill,2000.
[9]  Elmasry G,Wang N,Vigneault C,Early detection of apple bruises on different background colors using hyperspectral imaging,LWT Food Science and Technology,2008(2).
[10]  赵杰文,刘剑华,陈全胜..利用高光谱图像技术检测水果轻微损伤[J].农业机械学报,2008,(01):106-109.
[11]  Baranowski P,Mazurek W,Wozniak J,Detection of early bruises in apples using hyperspectral data and thermal imaging,Journal of Food Engineering,2012(3).
[12]  Tao Y,Heinemann P H,Varghese Z,Machine vision for color inspection of potatoes and apples,Transactions of the ASAE,1995(5).
[13]  Heinemann P H,Varghese Z A,Morrow C T,Machine vision inspection of golden delicious apples,Applied Engineering in Agriculture,1995(6).
[14]  Cubero S,Aleixos N,Moltó E,Advances in machine vision applications for automatic inspection and quality evaluation of fruits and vegetables,Food Bioprocess Technology,2011(4).
[15]  李江波,饶秀勤,应义斌..水果表面亮度不均校正及单阈值缺陷提取研究[J].农业机械学报,2011,(08):159-163.
[16]  Gowen A A,Odonnell C P,Taghizadeh M,Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus),Journal of Chemometrics,2008(3 - 4).

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