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Method for extracting area target of image based on fuzzytopology

A technology of target extraction and image area, applied in the field of image processing, can solve the problem of insufficient extraction accuracy, and achieve the effects of optimal extraction results, improved extraction accuracy, and improved extraction quality.

Active Publication Date: 2012-11-28
THE HONG KONG POLYTECHNIC UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an image area target extraction method based on fuzzy topology in view of the defect of the prior art that the extraction accuracy is not high enough due to the inability to accurately judge the boundary pixels of the target to be extracted in the image

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  • Method for extracting area target of image based on fuzzytopology
  • Method for extracting area target of image based on fuzzytopology
  • Method for extracting area target of image based on fuzzytopology

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Embodiment Construction

[0038] The software operating platform of the fuzzy topology-based image area target extraction method of the present invention adopts StoneExtra, and this software is designed with Visual Basic programming language for image processing for extracting gravel and rocks from aerial or high-definition satellite images system. The size, shape and height distribution of gravels can be extracted with this system. The system can be used for highway construction, and other terrain or municipal engineering projects. This technology is cost-effective and safer than traditional field survey solutions due to the addition of the following features to the system:

[0039] (1) Image optimization: including linear optimization, histogram adjustment and area space optimization;

[0040] (2) Gravel distribution detection: detect the spatial distribution of gravel according to the image spectrum characteristics;

[0041] (3) Gravel information extraction: Gravel characteristics, such as: size...

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Abstract

The invention relates to a method for extracting an area target of an image based on fuzzytopology, which comprises the following steps: an original image is treated in advance; an optimal threshold value T is dawn into; an object to be extracted is defined as a fuzzytopology object; the optimal threshold T is used for inducing two threshold values T1 and T2; regional division is carried out on the object to be extracted; and finally, the object is extracted out. In the method, the two threshold values are dawn into by a fuzzytopology method for determining the interior, boundary and externalof the object to be extracted, thus improving extracting quality to a certain degree; fuzzytopology connexity is carried out on boundary pixels so as to determine whether belong to the extracting range; a part duality mole (LBP) functor is dawn in in the analyzing process so as to increase judgment precision; in addition, the method for extracting the area target of the image based on fuzzytopology can significantly the extraction precision of the object, the boundary pixels of which is more difficult to be judged, thus obtaining better extraction results.

Description

technical field [0001] The invention relates to an image processing method, and more specifically, to a fuzzy topology-based image region target extraction method. Background technique [0002] With the continuous development of multimedia technology, image as an information carrier is gradually integrated into every corner of human life. In today's society, the use of images by humans is not only for recording and browsing information, but also for further processing of images, such as extracting objects in images. This technology is called Object Extraction. The target carrier for the extraction operation can be various images, such as: digital aerial images, satellite images, medical images, or digital photos in daily life. The extracted target objects can be It can be a natural object, such as a pond or gravel, or it can be a man-made object, such as a building. [0003] The existing target extraction technology mainly adopts the optimal threshold method, which uses a ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 史文中廖剑锋黄长青
Owner THE HONG KONG POLYTECHNIC UNIV
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