基于HIS颜色模型的珍珠颜色分选方法  

Method for classification of pearl color based on HIS model

作　　者：李革[1] 李斌[1] 王莹[1] 孙立[1] 赵匀[1] 李兢[1] 刘玉超[2] 

机构地区：[1]浙江理工大学机械与自动控制学院,杭州310018 [2]枣庄学院,枣庄277100

出　　处：《农业工程学报》2008年第8期284-287,共4页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金项目(50575211)资助

摘　　要：为研究和实现珍珠的自动分选,提出了一种对珍珠的色调及饱和度进行分选的方法。将珍珠图像由RGB颜色模型转换到HIS模型中进行处理,根据I(亮度)分量直方图,通过全局分割提取珍珠光亮区,掩模后得到光亮区H(色调信息)、S(饱和度信息)均值。其中针对色调分选要求,运用了基于RPROP算法的人工神经网络学习方法;针对各色系内色彩的深浅差异,运用了K-均值聚类方法对S均值进行分类。从而实现了先按照珍珠表面色彩进行分类,再将同一色系内的珍珠按照饱和度进行再度分选,最终达到颜色分选要求。In order to investigate and realize automatic classification of cultured pearls, the authors propose a classifying method for hue and saturation of pearl. First, the pearl image was processed after transforming it from RGB color model to HIS color model. According to the histogram of/（Intensity） weight, the brightness area by global4hreshold segmentation was extracted and the average values of/-/（Hue） and S（saturation） after decoration were gained. Aiming at the standard of hue classifying, a kind of artificial neural network method based on RPROP algorithm was adopted. Aiming at the depth difference of all kinds of colors, K-mean clustering method was employed to classify the average value of S. In this way, cultured pearls can first be classified according to the surface color of pearl, and then was further classified according to the saturation of pearls in the same color series, and finally classification of cultured pearls according to the standard of color can be achieved.

关 键 词：HIS颜色模型 K-均值聚类 人工神经网络 RPROP算法 

分 类 号：S944.46[农业科学—水产养殖] TP183[农业科学—水产科学]