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Image cutting method and image cutting system

An image segmentation and image technology, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of uncommon images and high complexity of image segmentation algorithms, and achieve the effect of simplifying the complexity

Active Publication Date: 2013-07-10
TSINGHUA UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, most of these methods are specific to specific problems, so they cannot be applied to all images, and the complexity of existing image segmentation algorithms is relatively high.

Method used

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  • Image cutting method and image cutting system
  • Image cutting method and image cutting system
  • Image cutting method and image cutting system

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Embodiment Construction

[0022] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0023] figure 1 It is a flowchart of a method for classifying similar images according to an embodiment of the present invention. Such as figure 1 As shown, the similar image classification method according to the embodiment of the present invention includes the following steps:

[0024] Step S101, providing an image to be segmented.

[0025] Step S102, obtaining arbitrary foreground points and background points from the pixels of the image to be segmented, and marking the foreground points and background points.

[0026] ...

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Abstract

The invention provides an image cutting method and an image cutting system. The method includes the following steps of providing an image to be cut, obtaining any foreground point and a background point from a pixel point of the image to be cut, calibrating the foreground point and the background point, constructing a flow network diagram according to the pixel point of the image to be cut, the calibrated foreground point and the calibrated background point, processing the flow network diagram to obtain the minimum cut set by means of a push-relabel method, wherein the minimum cut set is a set of edges which have the minimum similarity and need to be cut in the flow network diagram when the image to be cut is cut into a foreground and a background; and cutting the image to be a foreground area and a background area according to the minimum cut set. By means of the method and construction of the flow network diagram of the image to be recognized, the push-relabel method is carried out, complexity of an algorithm is simplified, and meanwhile the method is suitable for all images and is convenient to use for users.

Description

technical field [0001] The present invention relates to the technical field of image segmentation, in particular to an image segmentation method and system. Background technique [0002] A digital image refers to an image represented in the form of a two-dimensional array. Digital images can be generated by many different input devices and technologies, for example, digital cameras, scanners, coordinate measuring machines, etc. At first, computers were used to process graphics and image information. Today, digital image processing has a wide range of applications in many fields such as national defense, industrial and agricultural production, and life and entertainment. [0003] Image segmentation refers to the process of subdividing a digital image into a collection of pixels in multiple image sub-regions. Its purpose is to simplify or change the representation of the image, making the image easier to understand and analyze. Practical applications of image segmentation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 戴琼海黄炜程索津莉王竞瑶
Owner TSINGHUA UNIV
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