RANGE INTENSITY HISTOGRAM FOR SEGMENTING LADAR IMAGES

被引：6

作者：

JAIN, A

NEWMAN, T

GOULISH, M

机构：

[1] Department of Computer Science, Michigan State University, East Lansing

来源：

PATTERN RECOGNITION LETTERS | 1992年 / 13卷 / 01期

关键词：

LASER RADAR; RANGE IMAGE; SEGMENTATION; SENSOR FUSION; TARGET RECOGNITION;

D O I：

10.1016/0167-8655(92)90113-E

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We discuss a segmentation and preliminary recognition scheme for integrated sensory data. We perform pixel-level fusion of range and reflectance (intensity) data from a laser radar (ladar) sensor by constructing range-based intensity histograms containing the sum of intensity values of all pixels at regular range intervals. The ranges at which peaks occur in the histogram are hypothesized as ranges at which an object of interest might be present in the input scene. Likely objects are then segmented and subsequently identified using a nearest neighbor classifier.

引用

页码：41 / 56

页数：16