A threshold segmentation method for non-uniform illumination image based on brightness equalization

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Guo, Hui^1^2 ; Chen, Peng^1^2 ; Huang, Shun^1^2 ; Hu, Cong^1^2 ; Zhang, Lijun^1^2

School of Automation, China University of Geosciences, Wuhan

430074, China^1

Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System, Wuhan

430074, China^2

关键词: Enhancement algorithms;    Image threshold;    Inflection points;    Non-uniform illumination;    Processed images;    Surface reflections;    Threshold segmentation;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052046/pdf
DOI  :  10.1088/1757-899X/569/5/052046

来源: IOP

【 摘 要 】

In the process of image acquisition, non-uniform illumination images are common due to poor lighting, surface reflection, or a combination of these two factors. In order to improve the quality of image segmentation, an image threshold segmentation method is proposed for non-uniform illumination images. First, the brightness of different regions in the image is compensated to make the brightness background of the whole image consistent. Second, the gradation histogram of the processed image is obtained and simulated into Gaussian distribution curve, then the inflection points of the curve are calculated. Finally, the two inflection points are set as thresholds to segment the image after brightness equalization. This method eliminates the influence of non-uniform illumination to a certain extent and gets a better segmentation effect. Experiments were carried out on images containing several different types of non-uniform illumination. The results demonstrate that the proposed method outperforms the compared enhancement algorithms in threshold segmentation.