頁籤選單縮合
題名 | 糙米外觀品質影像特徵之研究=Image Characteristics of Brown Rice Appearance Quality |
---|---|
作者姓名(中文) | 萬一怒; 廖家興; | 書刊名 | 農業機械學刊 |
卷期 | 5:2 1996.06[民85.06] |
頁次 | 頁49-63 |
分類號 | 434.112 |
關鍵詞 | 糙米; 外觀品質; 影像處理; Brown rice; Appearance quality; Image process; |
語文 | 中文(Chinese) |
中文摘要 | 本研究應用機械視覺建立了判定糙米外觀品質之量化參數,包括打光及米粒取像環境的設定方式、米粒影像品質特徵之量化、鑑別值的計算、和糙米外觀品質判定參數之統計選取模式。在以台廣67號糙米為例的研究,計算出糙米投影面積、米粒上下端部寬度值、自要領所佔米粒面積比例、米粒長迪軸比、米粒表面紅色光度值和米粒表面綠色光度值等六個參數有最佳效果,可將糙米依其外觀分為畸型粒、著色粒、自死米、褐米、發芽粒、背朱熟粒、青死米、正常粒、基部未熟粒、其他未熟粒、白靈質粒與破碎粒等十二種米粒。這些參數可以作為育種、作物生長研 究、病蟲害防治等研究時 , 一個客觀 , 可暈化之稻米檢測的依據,以取代主觀的人工檢測。本研究所建立的糙米外觀品質檢測參數, 如進一步配合品級判別程式的發展,將可作為自動檢測糙米之CNS等級之用。 |
英文摘要 | In this study, machine vision is applied to create quantitative parameters for inspecting outward appearance quality of brown rice. These include lighting and environment setting to take rice kernel image, quantifying quality characters from a kernel image, threshold estimation, and applying statistical method to find parameters which are proper for quality inspection of brown rice. From the example study of "Tainung 67" brown rice, computation results show parameters of projection area, mean width of top and bottom, chalky area ratio, ratio of long and short axles, average gray level of red color component, and average gray level of green color component six parameters from a kernel image have the best effects. They can be applied to classify brown rice kernel according to their appearance into abnormal, discolored, white dead, rusty, sprouted, green immature, green dead, sound, base immature, other immature, chalky and broken, totally twelve categories. These parameters can also help researchers in crop growth studies, diseases and insect's prevention et al. This is an objective rice quality inspection with measured value instead of subjective quality inspection by person. All these quality inspection parameters established in this study, if combined with a selfgrading program, can apply to grade brown rice automatically according to CNS standard. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。