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Image segmentation method based on cloud model

An image segmentation and cloud model technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problem of inability to effectively deal with image segmentation ambiguity, and achieve the effect of good image segmentation effect.

Inactive Publication Date: 2012-07-25
李德毅 +3
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method cannot effectively deal with the ambiguity in image segmentation

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  • Image segmentation method based on cloud model
  • Image segmentation method based on cloud model
  • Image segmentation method based on cloud model

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Embodiment Construction

[0040] The clouds involved in the present invention include bottom clouds, high-level clouds and clouds between bottom clouds and high-level clouds. Generally speaking, a cloud is composed of many cloud droplets it contains, and cloud droplets have the following characteristics: one cloud drop is a quantitative realization of a qualitative concept, and the more cloud droplets, the more it can reflect the overall characteristics of this qualitative concept; The greater the probability of the appearance of the droplet and the greater the certainty of the cloud droplet, the greater the contribution of the cloud droplet to the concept.

[0041] The cloud uses three digital features of expectation Ex (Expected value), entropy En (Entropy) and hyper entropy He (Hyper entropy) to represent a concept as a whole.

[0042] Expectation Ex: The expectation of the distribution of cloud droplets in the space of discourse. In layman's terms, it is the point that can best represent the quali...

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Abstract

The invention discloses an image segmentation method based on a cloud model. The method comprises the following steps of: firstly, utilizing cloud transformation to realize the transformation of a gray level column diagram of an image and the extraction of lower layer cloud of the image; secondly, utilizing cloud integration to realize cloud merging and zooming; and finally, utilizing the maximumjudging method to realize image judgment and image segmentation. The method takes fuzziness and randomness in image segmentation as well as the uncertain relevance between the fuzziness and the randomness into consideration, thus, compared with the traditional image segmentation method, the method has better image segmentation effect.

Description

technical field [0001] The invention relates to image segmentation and target recognition in image processing, in particular to an image segmentation method based on a cloud model. Background technique [0002] Image segmentation is an important issue in image analysis and processing, and it is a technical process of extracting objects of interest from images (Zhang Yujin, 2001). Most image segmentation methods are based on deterministic methods, but there are many uncertainties in image information, and the uncertainty in image segmentation has become an important research direction (Arnaud martin, Hicham laanaya, 2006). Fuzziness and randomness are two important aspects of uncertainty, and current uncertain image segmentation methods mainly analyze from these two aspects. Image segmentation methods based on fuzzy theory mainly consider fuzziness. For example, the fuzzy C-means clustering algorithm judges the division of pixel classes by calculating the membership degree o...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/00
Inventor 李德毅秦昆杜鹢许凯
Owner 李德毅