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Ship shadow removing method of fusion area texture gradient

A texture gradient and shadow removal technology, applied in image data processing, instrumentation, calculation, etc., can solve problems such as confusion in foreground and shadow area detection, difficulty in effectively distinguishing hull boundaries, etc., to improve detection accuracy.

Inactive Publication Date: 2017-09-29
NANJING UNIV
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AI Technical Summary

Problems solved by technology

Traditional video detection methods are often difficult to effectively distinguish the hull boundary, resulting in confusion in the detection of foreground and shadow areas with similar colors and textures

Method used

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  • Ship shadow removing method of fusion area texture gradient
  • Ship shadow removing method of fusion area texture gradient
  • Ship shadow removing method of fusion area texture gradient

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Embodiment Construction

[0034] The present invention will be described in detail below with reference to the drawings and specific embodiments.

[0035] Reference figure 1 The present invention provides a process for removing ship shadows in a specific scene of an inland river, including the following steps:

[0036] Step (1): First obtain the video from the video source, then use the Gaussian mixture model to extract the shadowed foreground target area, and the foreground image extracted by the Gaussian mixture model is as follows figure 2 (b) Shown.

[0037] Step (2): In the previous step, the foreground area is extracted by the Gaussian mixture model. Compared with the RBG space, in the HSV space, since the brightness and chroma are separated, the space is suitable for visible shadows For detection, for the extracted foreground area, the present invention selects the HSV color space to detect shadows. For the extracted foreground area, obtain the HSV value of each pixel in the area and the background m...

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Abstract

A ship shadow removing method of a fusion area texture gradient is disclosed. An improved color and texture characteristic is used to carry out pre-detection on a ship shadow area. A gradient filling method is used to optimize and determine a final shadow position, and then a shadow is removed and a final shadow-removing ship target is acquired. Under a specific inland river channel environment, because of water surface ripples, a hypothesis of texture characteristic invariance of shadow-covered front and back areas is not always true. By using a traditional shadow detection method, a hull boundary is difficult to effectively distinguish so that foreground and shadow area detection of similar colors and textures is confused. By using the method of the invention, the above problems are effectively solved. Detection precision of inland river ship navigation parameters is increased and the method has an important meaning for accurately acquiring a ship size.

Description

Technical field [0001] The invention belongs to the technical field of computer machine vision detection, and is used in the monitoring of ship navigation parameters in inland rivers. The method of fusing regional texture gradients is used to remove the influence of ship shadows on the measurement of ship sailing parameters, and is a ship shadow fusing regional texture gradients Removal method. Background technique [0002] In order to ensure the shipping safety of inland rivers and the need for actual monitoring of ship operating conditions, ship detection systems that extract parameters such as the operating flow of inland ships in real time with the help of surveillance video are currently widely used. In the process of monitoring, it is necessary to obtain information such as the ship's position, speed, length and width, and this information is of great significance for standardizing ship models, preventing bridge collisions, and detecting ship speeding. However, in actual r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/50G06T7/11G06T7/194
CPCG06T5/50G06T7/11G06T7/194G06T2207/20224G06T5/94
Inventor 阮雅端曹伟清陈雷兴周东张园笛陈启美陈金艳杨名
Owner NANJING UNIV
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