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Image analysis of blush coverage extent and measures of categorical blush intensity in 'Honeycrisp' apples.

机译:“蜜脆”苹果腮红覆盖程度的图像分析和分类腮红强度的度量。

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Coverage extent and intensity of apple blush are important factors in the evaluation of apple fruit quality for some cultivars. Blush coverage extent and intensity were analysed in the cultivar Honeycrisp to: define categories of marketable blush in terms relating to device-independent colour measurements; assess relationships among a modified anthocyanin index (AIm) calculated from spectral measurements, colorimetry (CO) and human judgment of apple blush intensity; assess the efficacy of digital image analysis (DIA) of colour-calibrated digital photography as a tool to measure blush coverage extent; and explore differences between human judgment of blush coverage extent and DIA. AIm and CO were both effective in providing statistical categorical separation among 5 classes of apple blush in Honeycrisp: non-blush, slight non-marketable blush, minimum quality marketable blush, clear marketable blush and outstanding blush as judged by human participants. The boundary between blush and non-blush was judged to be a hue angle <49.0 +or- 3.1 hab in CIELAB L*Cab*hab colour space and an AIm value >4.3 +or- 1.3 at alpha < 0.05. DIA was less sensitive and did not show statistically significant differences between clear marketable blush and outstanding marketable blush, although its use to distinguish the other categories was successful. All methods of analysis resulted in high agreement with respect to the blushon-blush boundary (Cohen's kappa >= 0.897).
机译:苹果腮红的覆盖程度和强度是评估某些品种苹果果实品质的重要因素。在品种Honeycrisp中分析了腮红的覆盖程度和强度,以:与设备无关的颜色测量相关的术语定义了适销的腮红类别;评估光谱测量,比色法(CO)和人类对苹果脸红强度的判断所计算出的修正的花色苷指数(AI m )之间的关系;评估色彩校准的数字摄影的数字图像分析(DIA)作为测量腮红覆盖程度的工具的功效;并探讨人类对腮红覆盖程度的判断与DIA之间的差异。 AI m 和CO均可有效地在Honeycrisp中的5种苹果腮红之间提供统计上的分类分离:非腮红,轻度不可销售的腮红,最低质量的可销售腮红,透明的可销售腮红和出色的腮红。由人类参与者判断。在CIELAB L * C ab * h ab <中,判定腮红和非腮红之间的边界为色相角<49.0 +或-3.1 h ab / sub>颜色空间,且AI m 值> 4.3 +或1.3,且alpha <0.05。 DIA不太敏感,在透明的可销售腮红和出色的可销售腮红之间没有统计学上的显着差异,尽管成功地将其用于区分其他类别。所有分析方法均导致在腮红/非腮红边界方面达成高度一致(科恩kappa> = 0.897)。

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