Color image segmentation in HSI space for automotive applications

被引：73

作者：

Rotaru, Calin ^{[1
]}

Graf, Thorsten ^{[1
]}

Zhang, Jianwei ^{[2
]}

机构：

[1] Volkswagen AG, Grp Res Elect, D-38436 Wolfsburg, Germany

[2] Univ Hamburg, Dept Comp Sci, D-22527 Hamburg, Germany

来源：

JOURNAL OF REAL-TIME IMAGE PROCESSING | 2008年 / 3卷 / 04期

关键词：

Color image processing; HSI space; Image segmentation; Automotive applications; Driver assistance;

D O I：

10.1007/s11554-008-0078-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article presents a method for classifying color points for automotive applications in the Hue Saturation Intensity (HSI) Space based on the distances between their projections onto the SI plane. Firstly the HSI Space is analyzed in detail. Secondly the projection of image points from a typical automotive scene onto the SI plane is shown. The minimal classes relevant for driver assistance applications are derived. The requirements for the classification of the points into those classes are obtained. Several weighting functions are proposed and a fast form of an euclidean metric is investigated in detail. In order to improve the sensitivity of the weighting function, dynamic coefficients are introduced. It is shown how to compute them automatically in order to get optimal results for the classification. Finally some results of applying the metric to the sample images are shown and the conclusions are drawn.

引用

页码：311 / 322

页数：12

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