A method for detecting floating objects in rivers based on fixed-point image analysis
A detection method and technology for floating objects, which are applied in image analysis, image enhancement, image data processing, etc., can solve the problems of high cost, long distance, and long time-consuming manual river patrol, so as to reduce labor costs and improve work efficiency.
Active Publication Date: 2021-08-24
ZHEJIANG UNIV
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[0004] The content of the present invention is to solve a series of problems of high cost but low efficiency, such as long time-consuming manual river patrolling, long-distance roads, and visual blind spots, etc., and proposes a method for detecting floating objects on river water meters by using fixed-point image analysis
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[0058] Taking the Huxiao River in Yuquan Campus of Zhejiang University as an example, the method for detecting floating objects in the river based on fixed-point image analysis described in the present invention is used.
[0059] 1) Use a fixed-point aerial video of a drone with a duration of 5s and a total of 175 frames as the input of the ViBe algorithm to establish a background model. It gets ideal background image as attached Figure 5 As shown, and the perception image with floating objects at a certain moment is shown in the attached Figure 6 shown.
[0060] 2) Will Figure 5 and Figure 6 As input to the SIFT algorithm, looking for Figure 5 and Figure 6 The feature points in the scale space of the image are matched and the affine matrix between the images is calculated according to the matching results, so as to register the two images.
[0061] The above two steps can be realized by using the existing technology (ViBe algorithm and SIFT algorithm). The ViBe al...
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The invention discloses a method for detecting floating objects in a river course based on fixed-point image analysis. The method includes four steps: river background modeling, image registration, river water part extraction and anomaly detection. The background modeling link uses a background modeling algorithm to extract the ideal background image from the fixed-point image sequence of the river; the image registration link performs registration between the perceptual image and the ideal image based on the results of the image feature point extraction algorithm; the part of the river water body is extracted The link extracts the water body part of the river in the image based on the brightness feature (I value) of the hue, saturation and brightness (HSI) space and the river bank continuity judgment criterion; the anomaly detection link designs a method based on the gray gradient between neighborhood blocks (GoNP) anomaly detection algorithm for floating object detection. The invention can realize automatic detection of floating pollutants from river channel images, reduce misjudgments caused by manual visual inspection due to environmental or human factors, and reduce labor costs.
Description
technical field [0001] The invention relates to the field of water quality safety monitoring, and relates to a method for detecting floating objects on river water meters by using digital image processing technology in the range of visible light, in particular to a method for detecting floating objects in river channels based on fixed-point image analysis. Background technique [0002] Water is the source of life. In recent years, with the rapid economic and social development and the acceleration of industrialization and urbanization, water pollution and water quality safety have attracted more and more attention. [0003] However, according to the investigation, because personnel inspections are inevitably affected by problems such as long river distances, long inspection time, and visual blind spots, floating objects in the river cannot be detected in time, or even missed inspections. Contents of the invention [0004] The content of the present invention is to solve a...
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IPC IPC(8): G06K9/46G06T7/00G06T7/13G06T7/155G06T7/33
CPCG06T7/0002G06T7/13G06T7/155G06T7/33G06T2207/10016G06V10/462
Inventor 侯迪波林友鑫张光新黄平捷喻洁何思佳
Owner ZHEJIANG UNIV