Object detection in images with low light condition

被引：19

作者：

Kvyetnyy, Roman ^{[1
]}

Maslii, Roman ^{[1
]}

Harmash, Volodymyr ^{[1
]}

Bogach, Ilona ^{[1
]}

Kotyra, Andrzej ^{[2
]}

Gradz, Zaklin ^{[2
]}

Zhanpeisova, Aizhan ^{[3
]}

Askarova, Nursanat ^{[4
]}

机构：

[1] Vinnytsia Natl Tech Univ, 95 Khmelnitsky Shose Str, UA-21000 Vinnytsia, Ukraine

[2] Lublin Univ Technol, Nadbystrzycka 38a, PL-20618 Lublin, Poland

[3] MKh Dulaty Taraz State Univ, 7 Suleymenov Str, Taraz 080012, Kazakhstan

[4] Kazakh Natl Res Tech Univ, 22 Satbaev Str, Alma Ata 050013, Kazakhstan

来源：

PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH ENERGY PHYSICS EXPERIMENTS 2017 | 2017年 / 10445卷

关键词：

object detection; image denoising; wavelet thresholding; bilateral filtering; FACE; ALGORITHM;

D O I：

10.1117/12.2281001

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Images acquired by computer vision systems under low light conditions are characterized by the existence of noises. As a rule, it results in decreasing object detection rate. To increase the object detection rate, the proper image preprocessing algorithm is needed. The paper presents the image denoising method based on bilateral filtering and wavelet thresholding. The boosting method for object detection that uses the modified Haar-like features which include Haar-like features and symmetrical local binary patterns are proposed. The proposed algorithm allows increasing object detection rate in comparison with Viola-Jones method for a case of face detection task. The algorithm was tested on the two image sets, Yale B and the proprietary - VNTU-458.

引用

页数：10

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