CAJ | 학술논문

　　核桃缺素症是核桃栽培过程中的多发病症，常引发其他类型的侵染性病害，因此，及时识别和防治核桃缺素症对增加核桃产量、提高果农收入具有极其重大的意义。采用RGB 颜色模型，以色度为主要特征量进行核桃缺素症的判别。将叶片图像转换为灰度图，利用最小二乘法计算图像分割的阈值，并按照此阈值对灰度图像进行分割处理，区分出正常区域和缺素区域，对叶片异常区域像素点的灰度值与前期统计分析所得的缺素症状的典型灰度值比较，进行判别以确定核桃所缺元素。通过Visual C＋＋语言实现了此算法，取得了较好的效果。
　　핵도결소증시핵도재배과정중적다발병증，상인발기타류형적침염성병해，인차，급시식별화방치핵도결소증대증가핵도산량、제고과농수입구유겁기중대적의의。채용RGB 안색모형，이색도위주요특정량진행핵도결소증적판별。장협편도상전환위회도도，이용최소이승법계산도상분할적역치，병안조차역치대회도도상진행분할처리，구분출정상구역화결소구역，대협편이상구역상소점적회도치여전기통계분석소득적결소증상적전형회도치비교，진행판별이학정핵도소결원소。통과Visual C＋＋어언실현료차산법，취득료교호적효과。
Walnut deficiency is widespread during walnut cultivation , and it often induced another infectivity diseases,therefore,timely recognition and prevention for deficiency are important part of the promotion walnut production and the income of farmers .This research tries to discriminate walnut deficiency by using RGB color model,with chroma as key features .The main process is , first, converted leaves image to grayscale , and then calculated threshold by using the least squares method and segmented image with this threshold to distinction between normal and deficiency regions ,at last,compared pre-pixel gray in blade area with the typical gray values which derived from statistical analysis to determine the missing elements of walnut .Implemented the algorithm by Visual C++language ,and which can get better results .