摘要
HSI模型的彩色图像分割方法具有传统的RGB彩色图像分割所不具有的出色的分量独立性和色彩的真实性,具备良好的易分割的特点。提出首先将图像转化为HSI图像,然后根据各分量的特点单独进行分割,最后融合处理后的分量,得到准确的缺陷图样。该方法克服了单纯使用灰度图像分割不能准确定位缺陷边缘的弊端,同时对于木材图像纹理等细节信息具有较好的鲁棒性。试验的结果表明该方法即时准确有效。
Color image segmentation based on HSI model owns dramatic independence,authenticity and division.In this method,change images into HSI model first,and then segment every component separately,fuse the operated components properly last.The whole process is easy to realize with simple programming and calculation.Experiments show that the proposed method,compared with gray image segmentation that cannot define defect border precisely,can segment wood defect images better,faster and steadier.
出处
《机电产品开发与创新》
2009年第6期110-112,共3页
Development & Innovation of Machinery & Electrical Products
基金
黑龙江省自然科学基金项目(F200816)
哈尔滨市自然科学基金项目(2004AFXXJ020)
