计算机工程2012，Vol.38Issue(14)：203-205,210,4.DOI:10.3969/j.issn.1000-3428.2012.14.061
DR图像缺陷检测的彩色合成方法
Color Composite Method for Defect Detection of DR Image
摘要
Abstract
Digital Radiograph(DR) image is difficult to use a gray scale image to show the defects within different thickness parts simultaneously. To address this issue, it proposes to use a synthetic color images to show defects. The floating point type data is obtained by the scanning of DR system, is converted into three grayscale BMP images by using the method of the more gray stretch, where the different grayscale images contain the casting defects of the different wall thickness, and then the synthesis of these grayscale three images is a color BMP image. Color Chan-Vese(C-V) model is exploited to segment the defects of images. Experimental results show that the color synthesis method can segment the casting defects of different wall thickness.关键词
彩色合成/图像分割/缺陷检测/数字式X射线图像/Mumford-shah模型/Chan-Vese模型/气孔缺陷Key words
color composite/ image segmentation/ defect detection/ Digital Radiographv(DR) image/ Mumford-Shah model/ Chan-Vese(C-V) model/ bubble defect分类
信息技术与安全科学引用本文复制引用
田凯,曾理,刘玲慧..DR图像缺陷检测的彩色合成方法[J].计算机工程,2012,38(14):203-205,210,4.基金项目
国家自然科学基金资助项目(60972104) （60972104）
重庆市教委科研基金资助项目(KJ111502) （KJ111502）
