Digital image comparison using feature extraction and luminance matching

被引:0
作者
Bachnak, R [1 ]
Steidley, C [1 ]
Funtanilla, J [1 ]
机构
[1] Texas A&M Corpus Christi, Corpus Christi, TX 78412 USA
来源
Image Processing: Algorithms and Systems IV | 2005年 / 5672卷
关键词
borescope; image comparison; feature extraction; industrial inspection;
D O I
10.1117/12.585955
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents the results of comparing two digital images acquired using two different light sources. One of the sources is a 50-W metal halide lamp located in the compartment of an industrial borescope and the other is a 1 W LED placed at the tip of the insertion tube of the borescope. The two images are compared quantitatively and qualitatively using feature extraction and luminance matching approaches. Quantitative methods included the images' histograms, intensity profiles along a line segment, edges, and luminance measurement. Qualitative methods included image registration and linear conformal transformation with eight control points. This transformation is useful when shapes in the input image are unchanged, but the image is distorted by some combination of translation, rotation. and scaling. The gray-level histogram, edge detection, image profile and image registration do not offer conclusive results. The LED light source, however, produces good images for visual inspection by the operator. The paper presents the results and discusses the usefulness and shortcomings of various comparison methods.
引用
收藏
页码:12 / 22
页数:11
相关论文
共 4 条
[1]  
HOWELL W, 2002, BRIEF HIST LED LIGHT
[2]  
JAIN A, 1989, FUNDAEMNTALS DIGITAL
[3]  
KULRANI A, 2001, COMPUTER VISION FUZZ
[4]  
PEAREN G, 2002, LIGHTING EFFICIENCY