Water surface optical visual image target area detection method based on gradient information fusion

A technology of gradient information and target area, which is applied in the field of target area detection of water surface optical vision image and digital image processing

Inactive Publication Date: 2014-07-16
HARBIN ENG UNIV
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Problems solved by technology

Relevant papers show that there is no effective, simple and fast detection method for wat...

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  • Water surface optical visual image target area detection method based on gradient information fusion
  • Water surface optical visual image target area detection method based on gradient information fusion
  • Water surface optical visual image target area detection method based on gradient information fusion

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Embodiment Construction

[0058] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0059] 1. Read the grayscale image to be detected (such as figure 1 shown), and store it in a two-dimensional image array, the gray value of each pixel (i, j) is in the range of 0-255.

[0060] 2. Use a 3×3 sliding window (such as figure 2 shown), take each pixel point (i, j) as the center of the sliding window, traverse the entire image, and calculate the gray value Δg of each pixel point (i, j) in the sliding window 1 ,Δg 1 defined as:

[0061] Δg 1 =f(i+1,j)-f(i-1,j) (1)

[0062] 3. According to the image background grayscale C t And the percentage of the number of grayscale differences in the image γ, for the grayscale difference Δg 1 Stretch and calculate the longitudinal gradient value G at the pixel point (i, j) 1 (i,j), whose formula is defined as:

[0063] G 1 (i,j)=Δg 1 ×γ+C t (2)

[0064] Among them, C t and γ are determined according ...

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Abstract

The invention provides a water surface optical visual image target area detection method based on gradient information fusion. The water surface optical visual image target area detection method based on gradient information fusion adopts two sliding window modes and calculates the longitudinal gradient and the transverse gradient of a water surface optical visual image. The information of the two gradients is fused, the position of an area is marked through a connected component detection method, and the target area is marked according to the final boundary of a target. The water surface optical visual image target area detection method based on gradient information fusion combines sea boundary area characteristics of the water surface image, respectively extracts target boundary information in the longitudinal gradient and the transverse gradient directions of the water surface optical image, determines the attribute of the sea boundary line and division of an image processing space, determines the area type attribute of the target boundary according to the fused information, and finishes scanning and classification of pixels according to the property of the boundary. As the water surface optical visual image target area detection method based on gradient information fusion fuses the information in the two gradient directions by combining the characteristics of the sea boundary lines, reduces the range of the processing area, reduces influence from noise, avoids calculation and processing of the whole image space, and saves calculation time.

Description

technical field [0001] The invention relates to a digital image processing method. Specifically, it is a method for detecting a target area in a water surface light vision image. Background technique [0002] Since the 1990s, image and video processing methods have been applied to detect and identify small and weak targets at sea. Ship detection technology based on visible light imaging has been used for ship navigation. At the 2003 International Navigation Conference, Tokyo Merchant Marine Academy proposed a detection method for ships moving at sea based on visible light visual information. Through automatic ship identification system AIS and radar-based The collaboration of the visual automatic sensing system ARPA has realized the autonomous collision avoidance of the ship. It can be seen from the recent environmental information research that in view of the needs of navigation of ship systems, avoidance of various collision disasters, identity verification, and search a...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 张铁栋吕欣倍马珊黄蜀玲曾文静李阳
Owner HARBIN ENG UNIV
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