Adaptive morphology structural element construction algorithm based on local pixel density and symmetry-Reference-Cited by-同舟云学术

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Adaptive morphology structural element construction algorithm based on local pixel density and symmetry

Published:2022-06-04 Issue:1 Volume:82 Page:195-215
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Fang Chao,Wang Xiaopeng,Wang Qingsheng

Funder

National Natural Science Foundation of China

Science and Technology Program of Gansu Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-13259-3.pdf

Reference22 articles.

1. Adamski M, Sarnacki K, Saeed K (2021) Binary handwriting image enhancement by directional field-guided morphology. Inf Sci 551:168–183. https://doi.org/10.1016/j.ins.2020.11.019

2. Bai R, Wang J, Liang G, Li Y (2017) A new color adaptive mathematical morphology operator based on distance and threshold. In: International Conference on Anti-counterfeiting, Security, and Identification, IEEE

3. Curic V, Luengo Hendriks C, Borgefors G (2012) Salience adaptive structuring elements. IEEE J Sel Top Signal Process 6(7):809–819. https://doi.org/10.1109/JSTSP.2012.2207371

4. Das P, Dasgupta T et al (2016) A novel scheme for Bengali handwriting recognition based on Morphologi-cal operations with adaptive auto-generated structuring elements, In: Conference on control, Instrumentation, Energy & Communication, pp 1–215

5. Ding L, Kuriyan A, Ramchandran R, Sharma G (2017) Multi-scale morphological analysis for retinal vessel detection in wide-field fluorescein angiography. In: Image and Signal Processing Workshop, IEEE

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