摘要
给出一种HSI颜色空间上基于HSI分量统计概率分布的彩色图像分割方法,并应用于X射线安全检查仪下危险品图像的分割。该方法将RGB彩色图像转换到HSI颜色空间,并以S分量为主要依据对图像进行粗分割,获得旅客包裹图像,然后,利用H和I分量的联合阈值进行细节分割获得疑似危险品的图像。在实际应用中表明该方法快速简单,满足实时性要求,是一种高效的自动算法。
A approach to segment the color image based on HSI model was proposed, and it was used to segment the color image got from X-ray security inspection system. According to HSI approach, color image was transformed from RGB model to HSI model at first, and then the image was segmented according to S variant, thus the image of the passengers parcels could be attained. At last, by using the threshold value of hue and intensity, potential dangerous goods＇ image could be detected. Facts show HSI approach is fast and simple, and it can meet real-time demand. And it is an efficient automatic algorithm.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第1期139-141,共3页
Computer Engineering and Design
关键词
X射线图像
彩色图像分割
HSI空间
危险品检测
阈值
图像处理
X-rays image
color imagesegmentation
HSImodel
hazardous materialdetection
threshold value
image processing
