Weak edge detection of CT image based on improved algorithm of fuzzy theory

2014 ◽  
Vol 26 (5) ◽  
pp. 59001
Author(s):  
黄朕 Huang Zhen ◽  
高富强 Gao Fuqiang ◽  
郑忠义 Zheng Zhongyi ◽  
陈春江 Chen Chunjiang ◽  
栗忍 Li Ren
2012 ◽  
Vol 151 ◽  
pp. 653-656
Author(s):  
Zhan Chun Ma ◽  
Xiao Mei Ning

CANNY operator had widely usage for edge detection; however it also had certain deficiencies. So the traditional CANNY operator about this is improved and puts forward a kind of new algorithm used for image edge detection. Compared improved algorithm with traditional algorithm for edge detection, simulations shows that new algorithm is more effective for image edge detection and the clearer detection result is obtained.


2020 ◽  
Vol 4 (2) ◽  
pp. 183-190
Author(s):  
Lin-Lu Dong ◽  
Zhi-Shuang Xue ◽  
Liang-Jun Zhao ◽  
Xiao-Shi Shi

2011 ◽  
Vol 341-342 ◽  
pp. 763-767
Author(s):  
Bao Yong Zhao ◽  
Ying Jian Qi

The principle of Zernike moments and the method of sub-pixel edge detection based on Zernike moments were introduced in this paper. With the consideration of the limitation of the sub-pixel edge detection algorithm by Ghosal, such as the lower location precision of the edge and the extracted wider edge than that of the original image, an improved algorithm was proposed. On the one hand, a mask of size nine multiply nine was calculated and could be applied for the edge detection. On the other hand, a new criterion for edge detection was put forward. Additionally, a series of experiments were designed and implemented. The experiment results show that accuracy of the improved algorithm is higher than that obtained from using other size templates and Ghosal algorithm.


2012 ◽  
Vol 487 ◽  
pp. 915-919
Author(s):  
Xi Yun Wang

Image weak edge detection has a wide application. An improved ant colony algorithm is used for image edge detection . When image background is very complex ,the weak edge detection is more difficult. Around the key steps in the existing ant colony algorithm , we propose two improved methods. First, the expression of pheromone has been improved, and second, to improve the heuristic information value is calculated. Finally, the improved ant colony algorithm with the traditional Canny edge detection algorithm are compared.The improved edge detection experiments show that the new algorithm is position detection accurate, continuity, and the advantages of less interference.


Author(s):  
Lei Jiang Lei Jiang ◽  
Xianqing Ling Xianqing Ling ◽  
Jian Geng Jian Geng ◽  
Yongsheng Cheng Yongsheng Cheng

2021 ◽  
Author(s):  
Nani Lasiyah ◽  
Choirul Anam ◽  
Eko Hidayanto ◽  
Geoff Dougherty

Abstract Purpose: We used an improved algorithm to automatically measure the slice sensitivity profile (SSP) and its full-width at half maximum (FWHM) from all three stair objects within an image of the AAPM CT performance phantom.Methods: The phantom was scanned with a Philips Ingenuity 128-slice CT scanner using slice thicknesses of 1 mm and 5 mm. The three stair objects were named top #1, middle #2, and bottom #3. The software was able to measure the SSP and its FWHM form object #1, #2, #3, and all objects. The SSPs and FWHMs from each stair object were compared with manual measurements. Results: The FWHM values for a slice thickness of 1 mm were 1.3 ± 0.1 mm for all the stair objects. The FWHM values for a slice thickness of 5 mm were 5.2 ± 0.1 mm, 5.1 ± 0.3 mm, 5.2 ± 0.1 mm for the top, bottom, and middle stair objects, respectively. The results of manual measurements had the same trend as those of the automated measurements.Conclusion: The improved algorithm for measuring SSP and its FWHM from any stair object within the AAPM performance phantom was successfully developed. The SSPs and their FWHM values measured from every stair object were similar (p > 0.05).


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