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A Method of Image Segmentation in Natural Scenes

An image segmentation and natural scene technology, applied in the field of image segmentation in natural scenes, can solve problems such as inability to remove noise, algorithm time-consuming, misclassification, etc., to improve the effect, increase the impact, and increase the robustness. Effect

Active Publication Date: 2018-02-02
SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
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Problems solved by technology

However, the algorithm needs to calculate the surrounding neighborhood points in each iteration, which makes the algorithm very time-consuming
Moreover, when the noise increases, the FCM_S algorithm cannot remove the noise very well, and the wrong class often occurs.

Method used

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  • A Method of Image Segmentation in Natural Scenes
  • A Method of Image Segmentation in Natural Scenes
  • A Method of Image Segmentation in Natural Scenes

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Embodiment

[0032] The invention proposes an improved FCM algorithm, which not only adds the gray level information of the surrounding neighborhood to the algorithm, but also adds the membership degree information of the surrounding neighborhood to the algorithm. The FCM_S algorithm has a factor that controls the influence of neighborhood information. This factor needs to be manually adjusted according to different pictures in order to achieve good results. However, this greatly restricts the practical use of this algorithm. However, the present invention replaces this factor with the degree of membership of the neighborhood points, so that this factor will change with different situations without manual regulation, so that the present invention can be used in real life. Moreover, this improvement increases the robustness of the algorithm to noise and achieves better segmentation results.

[0033] 1. Image segmentation algorithm

[0034] 1.1 Preliminary Theory of the Algorithm

[0035]...

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Abstract

The invention relates to an image segmentation method for a natural scene, and the method comprises the following steps: 1, inputting a to-be-processed image; 2, judging whether the image is a gray scale image or not; 3, carrying out initialization; 4, initializing a clustering center V or a membership grade U; 5, solving an Euclidean distance between a neighborhood point and the clustering center V for (iter-th) iteration; 6, calculating the membership grade Uiter of the (iter-th) iteration again if the solved one is the clustering center Viter of the (iter-th) iteration, and calculating the clustering center Viter of the (iter-th) iteration again if the solved one is the membership grade Uiter of the (iter-th) iteration; 7, completing the image segmentation and outputting the segmented image if the difference between the membership grades before and after the (iter-th) iteration is less than an iteration stop threshold value epsilon or the number iter of iteration times is greater than the maximum number maxIter of iteration times. Compared with the prior art, the method greatly improves the effect of image segmentation.

Description

technical field [0001] The invention relates to an image segmentation method, in particular to an image segmentation method in natural scenes. Background technique [0002] With the rapid development of Internet technology and e-commerce, digital images are increasing at an alarming rate every day. How to find images that users are interested in among a large number of images has become a hot issue in current research. Image segmentation is the technology and process of dividing an image into several specific regions with unique properties and proposing objects of interest. It is a key step from image processing to image analysis. The existing image segmentation methods are mainly divided into the following categories: threshold-based segmentation methods, region-based segmentation methods, edge-based segmentation methods, and segmentation methods based on specific theories. The fuzzy C-means algorithm (or FCM) is a segmentation algorithm based on a specific theory. It is ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/10
CPCG06T2207/20004
Inventor 周韫捷胡嘉骏王志刚陆丽文颖
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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