A study on evaluating the image quality in DR a system with and without a grid

Choi, SH; Hwang, Sun-Kwang; Lee, Rae-Gon; Park, Yong-Sung; Lee, Jong-Woong; Jung, Hyunwoo; Jung, Jae-Hwan; Dong, Ke; Chung, Woon-Kwan; Cho, Jae-Hwan; Liu, Jin; Ryu, Younghwan

doi:10.3938/jkps.60.1977

Cited by 4 publications

(1 citation statement)

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“…It's subjective to compare the noise reduction effect from the appearance of the images. Therefore, this paper used the peak signal to noise ratio (PSNR) [12] to evaluate the experimental results objectively. The PSNR is the ratio of the maximum possible power to the destructive noise power which influences the former's representing precision, and the bigger the value, the less the distortion.…”

Section: Analysis Of the Filtering Effectmentioning

confidence: 99%

Canny Optimization Algorithm Based on Improved Anisotropic Diffusion Function Filtering

Zhang¹,

Zhang²

2016

IJSIP

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Image edge detection is an important part of image processing, and the effect of edge detection is also directly affected by image analysis, recognition and understanding. Canny operator is the most commonly used image edge detection operator. However, this operator has some limitations. The traditional Canny operator uses Gaussian filtering which may bring problems such as missing edge information and false edge. Besides, the selection of high and low thresholds of the traditional Canny operator are not accurate, and cannot be carried out by self-adaption. In order to solve these problems, this paper presents an optimized algorithm for Canny operator. In this paper, an improved anisotropic diffusion function is used to filter the image, and the improved filtering not only reduces the noise, but also maintains the edge information of the image. Additionally, this paper has improved the maximum between-class variance method (OTSU) to select the high and low thresholds of Canny operator by self-adaption. The improved algorithm is applied to edge detection of various images, and the results indicated that the improved Canny operator is effective in reducing noise and extracting edge.

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Section: Analysis Of the Filtering Effectmentioning

confidence: 99%