How to remove rain from video
A video and seed point technology, applied in the field of computer vision, can solve the problems of brightness difference between frames, raindrop missed detection, difficult detection, etc., and achieve the effect of reducing the amount of calculation and number
Active Publication Date: 2017-01-11
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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[0020] However, in the prior art, there are the following disadvantages: First, the inter-frame brightness difference method is used to find the seed point. When processing a video polluted by raindrops, assuming that the rain is small, the same pixel will not be covered by rain for multiple consecutive frames.
Therefore, this algorithm will cause missed detection of seed points when the rain is heavy, which can also be reflected from the processing results of the prior art
Second, since the threshold value of the brightness difference between frames is selected to be greater than 1 / 3 of the maximum value when selecting the seed point, it is difficult to detect many rain lines that are not particularly bright
Since the seed points cannot be fully detected, a large number of missed detections of raindrops are caused
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[0036] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.
[0037] see figure 1 , a preferred embodiment of the present invention provides a video rain removal method, which includes the following steps:
[0038] S10. Reading in the video.
[0039] That is, the video that needs to be derained is read in. It can be understood that the video includes a plurality of frames, and each frame includes a plurality of pixels.
[0040] S11. Determine the initial clustering center.
[0041] In this embodiment, the initial clustering centers are the maximum value max and the minimum value min of each pixel in all frames. It can be understood that the initial cluster center can be determined by calculating the maximum value max and minimum value min of each pixel in all frames.
[0042] S12. Use the K-means clustering method to find the preliminary seed points of all frames, and record the brightness v...
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The invention provides a video rain removing method which comprises the following steps: S11, determining an initial clustering center; S12, using a K-means clustering method to find initial seed points of all frames and recording the brightness value of a raindrop clustering center and the brightness value of a background clustering center; S13, judging whether other seed points exist in a preset range around the geometric positions of the initial seed points, executing step S14 if other seed points exist in the preset range around the geometric positions of the initial seed points, or executing step S15; S14, executing step S15 if the brightness of the initial seed points is larger than that of other seed points, or removing the initial seed points and executing step S16; S15, retaining the initial seed points and executing step S16; S16, carrying out fuzzy growth from the initial seed points; and S17, judging the brightness value of the background clustering center to be the pixel of raindrops. The video rain removing method can effectively reduce missing detection on fuzzy growth seed points in the prior art.
Description
technical field [0001] The invention relates to the technical field of computer vision, in particular to a video rain removal method for selecting fuzzy growth seed points based on the K-means clustering theory. Background technique [0002] Rain has a great impact on video image imaging, which will cause blurring of video image imaging and coverage of information. The direct result is that the definition of video images will decrease, and the digital processing of video images will also be affected by this and the performance will decline. Restoring the video image polluted by raindrops is beneficial to the further processing of the video image. The target detection, tracking, recognition or segmentation technology of video images has been widely used in many fields such as modern military, transportation and security monitoring. [0003] Video rain removal technology has made great progress since it was proposed in 2003. Various methods based on different mathematical and...
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IPC IPC(8): G06T5/00
Inventor 朱青松樊建平陈海鹏王建军谢耀钦王磊
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI