Light field foreground segmentation method and device based on K-means clustering

A foreground segmentation and K-means technology, applied in the field of image processing, can solve problems such as discontinuous foreground areas

Inactive Publication Date: 2018-03-30
CAPITAL NORMAL UNIVERSITY +1
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Problems solved by technology

[0004] The above method is to use the camera to take multiple shots along a straight line, and after obtaining the depth image, use the threshold me

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  • Light field foreground segmentation method and device based on K-means clustering
  • Light field foreground segmentation method and device based on K-means clustering
  • Light field foreground segmentation method and device based on K-means clustering

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Embodiment Construction

[0080] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0081] In the following description, various aspects of the present invention will be described. However, those skilled in the art can implement the present invention by using only some or all of the structures or processes of the present invention. For clarity of explanation, specific numbers, arrangements and sequences are set forth, but it will be apparent that the invention may be practiced without these specific details. In other instances, well-known features have not been described in detail in order not to obscure the invention.

[0082] Currently, foreground segmentation separates the object foreground from the scene view. It is commonly used in image editing, visual tracking and image recognition algorithms. Most segmentation algorithms work on plai...

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Abstract

The invention discloses a light field foreground segmentation method and device based on K-means clustering. The method includes the steps: extracting a refocusing image, a polar line plane image anda full clear image from a light field image to be processed; processing the polar line plane image by a structure tensor method to acquire polar line plane depth information; processing the refocusingimage by a discrete cosine response method to acquire refocusing information; acquiring area color features, area geometric features, area corresponding point features and area refocusing features according to each of a plurality of areas divided from the full clear image by a super-pixel segmentation technology; calculating similarity of the areas by K-means clustering; marking a foreground anda background by a graph cut algorithm based on the similarity to acquire foreground segmentation results of the light field image. The foreground segmentation results processed by the method are moreaccurate than those in the prior art.

Description

technical field [0001] The invention belongs to image processing technology, in particular to a light field foreground segmentation method and device based on K-means clustering. Background technique [0002] With the development of image technology, the requirements for the convenience of image processing and image operation are getting higher and higher. Accurate and convenient image foreground segmentation technology is a standard requirement in the field of modern image processing. Foreground segmentation is widely used in image editing, animation production, object recognition, monitoring analysis and other fields. Traditional algorithms mainly include threshold-based and edge-based algorithms. However, this algorithm has low segmentation accuracy for some special scenes. For example: when the foreground and background colors are very similar, appearance camouflage occurs; when the background is messy and there are objects of various colors, it is easy to mistakenly ...

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Application Information

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IPC IPC(8): G06T7/11G06T7/136G06T7/168G06T7/194G06K9/62
CPCG06T7/11G06T7/136G06T7/168G06T7/194G06T2207/20052G06T2207/10052G06F18/23213
Inventor 刘杰周建设陈宪宇代锋
Owner CAPITAL NORMAL UNIVERSITY
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