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Interactive image segmentation method for reducing manual intervention

An image segmentation and manual intervention technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as slow algorithm operation speed, and achieve the effects of improving accuracy and efficiency, speeding up speed, and reducing the number

Inactive Publication Date: 2012-07-04
JIANGNAN UNIV
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Problems solved by technology

[0004] In order to improve the shortcomings of existing Live-wire curves that are easy to absorb to the outline of non-target objects and the algorithm runs slowly, this invention proposes a method that can reduce the number of boundary points input by the user, thereby improving the Live-wire segmentation effect

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  • Interactive image segmentation method for reducing manual intervention

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Embodiment Construction

[0007] In the first step, the approximate gray value of the boundary of the target object is extracted. Specifically, extract a small square area R with a boundary point s input by the user as the center and l as the side length on the image I to be segmented, and calculate the average pixel gray value of the area, namely:

[0008] av _ gray ( s ) = 1 l 2 Σ s ′ ∈ R I ( s ′ ) - - - ( 1 )

[0009] Where s' represents all pixels in the region R. Because each segment of the Live-wire curve is derived from a user-input boundary point, and each user-inp...

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Abstract

The invention discloses an interactive image segmentation method for reducing manual intervention. The interactive image segmentation method for reducing the manual intervention comprises the following steps of: firstly, extracting a small zone, which takes a boundary point for user input as a centre, and computing a mean gray value of the small zone; secondary, filtering an original image to be segmented with the mean gray value as a template so as to enhance the zone with the similar gray value and attenuate other zones; thirdly, extracting a border curve of the filtered image by a Canny operator so as to structure an energy consumption function capable of attenuating the boundary of a non-target object; fourthly, redefining an optimal path between two points as a path with minimum average energy consumption so as to make an Live-wire curve between the two points become a lasso with adjustable elasticity; and at last, computing a shortest path between two user input points as a boundary of a target object between the two points by using a Dijkstra algorithm.

Description

Technical field [0001] The invention relates to an image segmentation method, in particular to an image segmentation method capable of reducing manual intervention. Background technique [0002] Image segmentation is a key task in the field of computer vision. Among various segmentation algorithms, Live-wire is a better algorithm based on human-computer interaction. It regards the pre-segmented image as a connected graph, the pixels in the image are regarded as nodes in the graph, and the edges between adjacent pixels are regarded as the edges connecting nodes. Define an energy consumption function on each edge, assign a smaller energy consumption value to a strong edge, and a larger energy consumption value to a non-strong edge, and assign 0 energy consumption to the arc between adjacent pixels, not between adjacent pixels. The arc assignment +∞ energy consumption, the segmentation is converted into the optimal path problem between the starting point and the target point,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 周頔吉庆
Owner JIANGNAN UNIV
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