Two dimensional cuckoo search optimization algorithm based despeckling filter for the real ultrasound images

作     者：Gupta, Pradeep K. Lal, Shyam Kiran, Mustafa Servet Husain, Farooq 

作者机构：Department of Electronics and Communication Engineering Moradabad Institute of Technology Uttar Pradesh Moradabad244001 India Department of Electronics and Communication Engineering National Institute of Technology Karnataka Surathkal Karnataka Mangaluru575025 India Department of Computer Engineering Faculty of Engineering Konya Technical University Konya Turkey Department of Computer Engineering Faculty of Engineering Selcuk University Konya Turkey 

出 版 物：《Journal of Ambient Intelligence and Humanized Computing》 (J. Ambient Intell. Humanized Comput.)

年 卷 期：2024年第15卷第1期

页      面：921-942页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 071101[理学-系统理论] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 1007[医学-药学(可授医学、理学学位)] 0810[工学-信息与通信工程] 0711[理学-系统科学] 0202[经济学-应用经济学] 1202[管理学-工商管理] 100706[医学-药理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 1002[医学-临床医学] 070207[理学-光学] 1001[医学-基础医学(可授医学、理学学位)] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0702[理学-物理学] 

主　　题：FIR filters 

摘      要：A clinical ultrasound imaging plays a significant role in the proper diagnosis of patients because, it is a cost-effective and non-invasive technique in comparison with other methods. The speckle noise contamination caused by ultrasound images during the acquisition process degrades its visual quality, which makes the diagnosis task difficult for physicians. Hence, to improve their visual quality, despeckling filters are commonly used for processing of such images. However, several disadvantages of existing despeckling filters discourage the use of existing despeckling filters to reduce the effect of speckle noise. In this paper, two dimensional cuckoo search optimization algorithm based despeckling filter is proposed for avoiding limitations of various existing despeckling filters. Proposed despeckling filter is developed by combining fast non-local means filter and 2D finite impulse response (FIR) filter with cuckoo search optimization algorithm. In the proposed despeckling filter, the coefficients of 2D FIR filter are optimized by using the cuckoo search optimization algorithm. The quantitative results comparison between the proposed despeckling filter and other existing despeckling filters are analyzed by evaluating PSNR, MSE, MAE, and SSIM values for different real ultrasound images. Results reveal that the visual quality obtained by the proposed despeckling filter is better than other existing despeckling filters. The numerical results also reveal that the proposed despeckling filter is highly effective for despeckling the clinical ultrasound images. © Springer-Verlag GmbH Germany, part of Springer Nature 2018.