GRAY LEVEL THRESHOLDING IN BADLY ILLUMINATED IMAGES

被引:98
作者
PARKER, JR
机构
[1] Dept of Comput Sci, Univ of Calgary,, Alta
关键词
GRADIENT; ILLUMINATION; IMAGE PROCESSING; SEGMENTATION; THRESHOLDING;
D O I
10.1109/34.85672
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Most gray level thresholding methods produces very good results in situations where the illumination gradient in the original raster image is regular and not too large. In other cases, such as a large linear change in illumination, a satisfactory bilevel image cannot be produced. One approach is to locate object pixels first, and then grow regions around these, generating a threshold value for each pixel. It can be assumed with a high degree of assurance that pixels at locations having a high gray level gradient form a part of an object, and that nearby pixels with similar gray levels will also be part of the same object. If regions are grown carefully, a threshold image will result.
引用
收藏
页码:813 / 819
页数:7
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