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http://dx.doi.org/10.5391/JKIIS.2016.26.1.044

Performance Improvement of Stereo Matching by Image Segmentation based on Color and Multi-threshold  

Kim, Eun Kyeong (Department of Electrical and Computer Engineering, Pusan National University)
Cho, Hyunhak (Department of Interdisciplinary Cooperative Course: Robot, Pusan National University)
Jang, Eunseok (Department of Electrical and Computer Engineering, Pusan National University)
Kim, Sungshin (School of Electrical and Computer Engineering, Pusan National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.26, no.1, 2016 , pp. 44-49 More about this Journal
Abstract
This paper proposed the method to improve performance of a pixel, which has low accuracy, by applying image segmentation methods based on color and multi-threshold of brightness. Stereo matching is the process to find the corresponding point on the right image with the point on the left image. For this process, distance(depth) information in stereo images is calculated. However, in the case of a region which has textureless, stereo matching has low accuracy and bad pixels occur on the disparity map. In the proposed method, the relationship between adjacent pixels is considered for compensating bad pixels. Generally, the object has similar color and brightness. Therefore, by considering the relationship between regions based on segmented regions by means of color and multi-threshold of brightness respectively, the region which is considered as parts of same object is re-segmented. According to relationship information of segmented sets of pixels, bad pixels in the disparity map are compensated efficiently. By applying the proposed method, the results show a decrease of nearly 28% in the number of bad pixels of the image applied the method which is established.
Keywords
Stereo matching; Image segmentation; Disparity Map; Color; Brightness;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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