CT灰度图象的熵门限自动分割

Automatic Thresholding of CT Gray—level pictures using entropy

对图象的灰度值自动取阈值(门限)在生物形状的图象自动分析中十分有用。本文运用熵门限的方法,实现了灰度图象中多个目标的自动分割,并把一维熵门限扩展到二维熵门限,使分割效果更佳且抗噪能力增强。应用于肝脏CT图象,获得了较为理想的结果。

Automatic thresholding of the gray—level values of an image is very useful in automated analysis of morphological images, In this paper, the automatic segmentation of several objects in the image are realized, and the entropy—based thresholding algorithm is extended to two—dimensional histogram. Applying this entropie thresholding algorithm to human liver CT image, the result of segmentation is satisfying.