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Method for eliminating defocusing noise based on two-dimensional best histogram entropy method and genetic algorithm

A genetic algorithm and histogram technology, applied in the field of defocus noise elimination, can solve the problems of many design parameters, slow running speed, and inclusion, and achieve the effects of improving anti-noise performance, simple implementation, and wide application range

Inactive Publication Date: 2017-10-10
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

In OSH, when the slice images of each layer are reconstructed from the hologram, the traditional reconstruction method will make the reconstructed image contain the defocus noise of other slices, resulting in poor imaging quality; therefore, the elimination of defocus noise becomes our The focus of the research
[0003] At present, the document "Thresholding Using Two-Dimensional Histogram and FuzzyEntropy Principle" discloses a method that uses two-dimensional histogram threshold and fuzzy entropy to process noisy images, but the two-dimensional histogram entropy method has many design parameters and slow running speed, so the effect is not good. very ideal
The document "Image Denoising Basedon Genetic Algorithm" discloses a genetic algorithm for image denoising, but the traditional genetic method has a slow search efficiency and cannot quickly find the global optimal solution, that is, it cannot efficiently perform image denoising processing

Method used

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  • Method for eliminating defocusing noise based on two-dimensional best histogram entropy method and genetic algorithm
  • Method for eliminating defocusing noise based on two-dimensional best histogram entropy method and genetic algorithm
  • Method for eliminating defocusing noise based on two-dimensional best histogram entropy method and genetic algorithm

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Embodiment Construction

[0046] The present invention will be described in detail below in conjunction with the embodiments and the accompanying drawings.

[0047] This embodiment provides a method for eliminating out-of-focus noise based on two-dimensional optimal histogram entropy method and genetic algorithm, and its flow chart is as follows figure 1 As shown, in this embodiment, the system structure is as figure 2 As shown, the original picture is as image 3 As shown, the specific implementation process includes the following steps:

[0048] Step 1. Using as figure 2 As shown in the system structure diagram, the light with angular frequency ω emitted by the same laser source is divided into two beam paths by the first polarization beam splitter, and the first pupil is a random phase pupil p 1 (x, y) = expj[2πr(x, y)], r(x, y) is a random function between (0, 1), realized by a transmission-type spatial light modulator (Spatial Light Modulator, SLM); while the second pupil is p 2 (x, y)=1, w...

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Abstract

The invention belongs to the field of optical scanning holography, and provides a method for eliminating defocusing noise based on a two-dimensional best histogram entropy method and a genetic algorithm. First, a laser beam is split into two beam paths by a first polarization beam splitter, wherein the first pupil is a random phase pupil p1 (x, y) = exp j [2 Pai r (x, y)] and the second pupil is p2 is p1 (x, y)=1. Through the arrangement of the optical pupils, the defocusing noise is converted into the form of speckle noise. Then the total entropy H (s, t) of the two-dimensional histogram is obtained by using the two-dimensional best histogram entropy method to the re-constructed and obtained grayscale image and based on this, a fitness function is adopted and the genetic algorithm searches the optimal threshold. According to the invention, through the extraction of the grayscale information of an image, the two-dimensional best histogram entropy method is utilized to select a threshold and an improved genetic algorithm is utilized to speed up the converging speed, which increases the threshold searching efficiency so as to obtain the optimal threshold for image segmentation and to effectively increase the imaging quality of slices.

Description

technical field [0001] The invention belongs to the field of optical scanning holography, and relates to a defocus noise elimination method based on a two-dimensional optimal histogram entropy method and a genetic algorithm. Background technique [0002] Optical Scanning Holography (OSH), referred to as OSH, is a branch of digital holography. It was first proposed by Poon and Korpel. OSH can store the information of three-dimensional objects as two-dimensional holograms. Since the technology was proposed, it has been widely used in the fields of scanning holographic microscope, 3D image recognition and 3D optical remote sensing. In OSH, when the slice images of each layer are reconstructed from the hologram, the traditional reconstruction method will make the reconstructed image contain the defocus noise of other slices, resulting in poor imaging quality; therefore, the elimination of defocus noise becomes our The focus of the research. [0003] At present, the document "T...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/70
Inventor 欧海燕陈晓林邵维王秉中
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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