红外技术
紅外技術
홍외기술
INFRARED TECHNOLOGY
2014年
8期
649-651
,共3页
红外图像%二值化分割%灰度梯度值%全局阈值面
紅外圖像%二值化分割%灰度梯度值%全跼閾值麵
홍외도상%이치화분할%회도제도치%전국역치면
infrared image%binary segmentation%gray gradient value%global threshold surface
红外图像二值化分割是对红外图像进行分析和理解的关键,图像二值化分割的质量,直接关系到图像的后期处理,结合红外图像对比度低、分辨潜力差、分辨率低等自身特点,提出一种基于局部灰度梯度值和全局化阈值面相结合的二值化分割算法。
紅外圖像二值化分割是對紅外圖像進行分析和理解的關鍵,圖像二值化分割的質量,直接關繫到圖像的後期處理,結閤紅外圖像對比度低、分辨潛力差、分辨率低等自身特點,提齣一種基于跼部灰度梯度值和全跼化閾值麵相結閤的二值化分割算法。
홍외도상이치화분할시대홍외도상진행분석화리해적관건,도상이치화분할적질량,직접관계도도상적후기처리,결합홍외도상대비도저、분변잠력차、분변솔저등자신특점,제출일충기우국부회도제도치화전국화역치면상결합적이치화분할산법。
Infrared image binary segmentation is the key to the infrared image analysis. And understanding of the quality of the image binary segmentation is directly related to the post-processing of the image. Combined with the characteristics of low contrast the poor resolution potential, low resolution of infrared image, a binary segmentation algorithm is proposed which is based on combination of local gray gradient threshold value and the face of a global one.