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Prior knowledge has been considered as valuable information in many image processing techniques. In this paper, we take the original image itself as the prior and develop a new fuzzy clustering algorithm for image segmentation by adding a new term to the objective function of Fuzzy C-means. The new term comes from Guided Filter for its capability of suppressing noise and preserving edge information...
Fuzzy clustering methods are efficient tools for image segmentation. However, most of fuzzy clustering approaches are too sensitive to deal with the misclassification of pixels in image segmentation. In recent years, a variety of enhanced fuzzy clustering approaches have been proposed to obtain smoother results in noised image segmentation, but usually with less accurate edges in these results. To...
In nighttime images, vehicle detection is a challenging task because of low contrast and luminosity. In this article, the authors combine a novel region-of-interest (ROI) extraction approach that fuses vehicle light detection and object proposals together with a nighttime image enhancement approach based on improved multiscale retinex to extract accurate ROIs and enhance images for accurate nighttime...
Depth information can be obtained using stereo matching algorithms, which compute the horizontal displacement (disparity) of the corresponding points and convert to depth information using the triangular relation. However, the matching process is challenging with presence of textureless regions. This paper proposes a novel disparity refinement method for stereo matching based on Semi-global Matching...
To solve the problem of urban congestion, various vehicles management technology have been developed vigorously, such as the parking management system development is relatively mature, also using of the varied technology. This paper focuses on edge detection which are based on the static image preprocessing. Edge detection makes use of Roberts operator mostly, and the operator has been improved in-depth...
Considering the plentiful road markings in China, we present a Block-Constraint Line scanning (BCLS) method for lane detection in this paper. In this method, images are firstly pre-processed by a morphological top-hat transform, and then an imaging model is created for building relationship between lane parameters of the image coordinate and the WGS coordinate, from which target points on lane lines...
This paper presents a novel approach to detect traffic congestion on roads in a natural open world scene observed from TV cameras placed on poles or buildings. In this system, a time-spatial imagery based algorithm is proposed to estimate the road status from the video. The experimental results on real road traffic congestion estimation show that the time-spatial method is robust in complex lighting...
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