基于数学形态滤波器的医学信号处理
|
摘要
数学形态学是一门新兴科学。它建立在严格的数学理论基础之上，其基本思想和方法对图像处理的理论和技术产生了重大的影响，数学形态学已经构成一种新兴的图像处理方法和理论。近年来，数学形态滤波器得到了广泛的重视。本文主要就数学形态学在医学信号处理方面的应用做了主要研究和讨论。
首先，研究了数学形态滤波理论。介绍了数学形态学基本运算的算法和流程图。
其次，用形态滤波器对医学图像信号进行了处理。在疾病的诊疗方面，细节信息显得尤为重要。医学图像的边缘中有着大量的有价值的信息，这对于及时发现病情并做出判断至关重要。本文采用了形态滤波器对医学图像的边缘进行了提取，取得了较好的效果，并深入讨论了对含有不同类型噪声图像的处理效果。
最后，用线性组合形态滤波器对心电信号进行了处理。由于心电信号的记录过程中常会引入脉冲噪声和基线漂移，这对于心电信号的判断和进一步的QRS复波群分离带来很大的影响。本文采用形态滤波器对心电信号进行了处理，在去除噪声的同时，较好的保留了信号中的细节信息。
Morphology Mathematical is a new developing science. It is based on strict mathematical theory. It has great effect on the theory and technology of image processing. And it has become a new theory and means of image processing. Lately, morphological filters have been paid more and more importance on. This paper mainly discusses the morphological filters applied to the medical signals processing.
Firstly, after studying the mathematical morphological theory, the basic arithmetic and flow chart of mathematical morphology are introduced.
Secondly, the medical image is processed by the morphological filters. The detail information is very important on the diagnosis and treat. There is lots of value information on the edge of the medical image. It has great effect on finding the disease. This paper detects the edge of medical image by the morphological filters, and we have good results.
Lastly, ECG signals are processed by the linear combinations of morphological operators filters. When we get the ECG signals, impulsive noises and baseline drift will been intermingled. It will influence the ECG waves separation. We get good results when the ECG signals are filtered by the morphological filters.
首先，研究了数学形态滤波理论。介绍了数学形态学基本运算的算法和流程图。
其次，用形态滤波器对医学图像信号进行了处理。在疾病的诊疗方面，细节信息显得尤为重要。医学图像的边缘中有着大量的有价值的信息，这对于及时发现病情并做出判断至关重要。本文采用了形态滤波器对医学图像的边缘进行了提取，取得了较好的效果，并深入讨论了对含有不同类型噪声图像的处理效果。
最后，用线性组合形态滤波器对心电信号进行了处理。由于心电信号的记录过程中常会引入脉冲噪声和基线漂移，这对于心电信号的判断和进一步的QRS复波群分离带来很大的影响。本文采用形态滤波器对心电信号进行了处理，在去除噪声的同时，较好的保留了信号中的细节信息。
Morphology Mathematical is a new developing science. It is based on strict mathematical theory. It has great effect on the theory and technology of image processing. And it has become a new theory and means of image processing. Lately, morphological filters have been paid more and more importance on. This paper mainly discusses the morphological filters applied to the medical signals processing.
Firstly, after studying the mathematical morphological theory, the basic arithmetic and flow chart of mathematical morphology are introduced.
Secondly, the medical image is processed by the morphological filters. The detail information is very important on the diagnosis and treat. There is lots of value information on the edge of the medical image. It has great effect on finding the disease. This paper detects the edge of medical image by the morphological filters, and we have good results.
Lastly, ECG signals are processed by the linear combinations of morphological operators filters. When we get the ECG signals, impulsive noises and baseline drift will been intermingled. It will influence the ECG waves separation. We get good results when the ECG signals are filtered by the morphological filters.
引文
[1]陈贺新．非线性滤波与数字图像处理．国防工业出版社．1997：1-4页
[2]吴敏金．图像形态学．上海科学技术出版社．1991：12-32页
[3]唐常青等．数学形态学方法及其应用．科学出版社．1990：165-178页
[4]Skolnick, M.M.. Introduction CVGIP. 1986 (35): P281-282.
[5]Serra, J.. Introduction to Mathematical Morphology CVGIP. 1986 (35):P283-305
[6]Dougherty, E. R.. An Introduction to Mathematical Morphology. 1992. SPIE Optical Engineering Press, Washington USA
[7]Sternberg, S. R.. Biomedical Image Processing. Computer. 1983 (1): P22-23
[8]Houri,A.et al..A Texture Analysis by Mathematical Morphology Application to Cells Discrimination.Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medical and Biology Society.1990:P163-164
[9]Lay,B.et al..Automatic Detection of Micro aneurysms in Retinopathy Fluoro-Angiogram.Applications of Digital Image Processing Ⅵ,Processing of the Society of Photo-Optical Instrumentation Engineers. 1983 (432):P165-173
[10]Mao Yunlong, et al.. Recognizing the Giaocoma From Ocular Image by Image Analysis, Annual International Conf. of the IEEE Engineering in medicine and Biology Society. 1990, 12 (1): P178-179
[11]Biore, J. -Y. et al.. Segmentation Method for Automatic Kidney Volume Quantification in SPECT, Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medical and Biology Society.1990:P421-422
[12]Cauvin, J. C., et al.. Automatic quantification of myocardial Defects in SPECT by morphological methods. Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medical and Biology Society. 1990:P415-416
[13]Higgins, W. E. et al.. Extraction of Left-ventricular Chamber from 3-D CT Images of the Heart. IEEE Transactions on Medical Imaging.1990, 9 (8):P384-395
[14]Bartoo, G. T., et al.. Multi-modality Image Registration Using Centroid Mapping. Images of the Twenty-Fiset Century-Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medical and Biology Society. 1989: P550-551
[15]Badran, A. K. et al.. Patient Realignment in Magnetic Resonance Imaging of the Head. An Algorithm Using Mathematical Morphology for Feature Extraction. Journal of Biomedical Engineering. 1990, 2 (2): P 138-142
[16]Acharya, R. S. et al.. Segmentation Algorithms for Cranial Magnetic Resonance Images. Proceedings of SPIE.1991 (1652): P50-61
[17]Pai, Tun-Wen et al.. Morphological Image Processing with Application to Medical Imaging. Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medical and Biology Society. 1990:P160-162
[18]Trahanias, P. E..An Approach to QRS Complex Detection Using Mathematical Morphology. IEEE Trans. on Biomedical Engineering. 1993,40 (2): P201-205
[19]封根泉．心脑电图电子计算机分析的原理和应用．科学出版社．1986：12-20页
[20]CHEE-HUNG HENRY CHU, EDWARD J. DELP.Impulsive Noise Suppression and Background Normalization of Electrocardiogram Signals Using Morphological Operators.IEEE Trans.on Biomedical Engineering. 1989, 36 (2): P262-273
[21]Mark Allen Schulze, B.A., B.S.E.E., M.S.E.. Biomedical Image Processing with Morphology-Based Nonlinear Filters. The University of Texas at Austin. Dissertation for the Degree of Doctor of Philosophy. 1994:P40-41
[22]M.H. Sedaaghi. ECG Wave Detection Using Morphological Filters. Applied Signal Processing. 1998 (5): P182-194
[23]吴世法．近代成像技术与图像处理．国防工业出版社．1997：75-77页
[24]袁华等．边缘检测及其在医学图像中的应用．生物医学工程杂志．2001，18(1)：145-153页
[25]刘慧敏等．图像边缘信息分析中数学形态学的应用方法．武汉大学学报，信息科学版．2001，26(4)：325-330页
[26]陈桂明，张照明，戚红雨．应用MATLAB语言处理数字信号与数字图像．科学出版社．2000：29-109页
[27]王晓丹，吴崇明．基于MATLAB的系统分析与设计——图像处理．西安电子科技大学出版社．2000：131-139页
[2]吴敏金．图像形态学．上海科学技术出版社．1991：12-32页
[3]唐常青等．数学形态学方法及其应用．科学出版社．1990：165-178页
[4]Skolnick, M.M.. Introduction CVGIP. 1986 (35): P281-282.
[5]Serra, J.. Introduction to Mathematical Morphology CVGIP. 1986 (35):P283-305
[6]Dougherty, E. R.. An Introduction to Mathematical Morphology. 1992. SPIE Optical Engineering Press, Washington USA
[7]Sternberg, S. R.. Biomedical Image Processing. Computer. 1983 (1): P22-23
[8]Houri,A.et al..A Texture Analysis by Mathematical Morphology Application to Cells Discrimination.Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medical and Biology Society.1990:P163-164
[9]Lay,B.et al..Automatic Detection of Micro aneurysms in Retinopathy Fluoro-Angiogram.Applications of Digital Image Processing Ⅵ,Processing of the Society of Photo-Optical Instrumentation Engineers. 1983 (432):P165-173
[10]Mao Yunlong, et al.. Recognizing the Giaocoma From Ocular Image by Image Analysis, Annual International Conf. of the IEEE Engineering in medicine and Biology Society. 1990, 12 (1): P178-179
[11]Biore, J. -Y. et al.. Segmentation Method for Automatic Kidney Volume Quantification in SPECT, Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medical and Biology Society.1990:P421-422
[12]Cauvin, J. C., et al.. Automatic quantification of myocardial Defects in SPECT by morphological methods. Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medical and Biology Society. 1990:P415-416
[13]Higgins, W. E. et al.. Extraction of Left-ventricular Chamber from 3-D CT Images of the Heart. IEEE Transactions on Medical Imaging.1990, 9 (8):P384-395
[14]Bartoo, G. T., et al.. Multi-modality Image Registration Using Centroid Mapping. Images of the Twenty-Fiset Century-Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medical and Biology Society. 1989: P550-551
[15]Badran, A. K. et al.. Patient Realignment in Magnetic Resonance Imaging of the Head. An Algorithm Using Mathematical Morphology for Feature Extraction. Journal of Biomedical Engineering. 1990, 2 (2): P 138-142
[16]Acharya, R. S. et al.. Segmentation Algorithms for Cranial Magnetic Resonance Images. Proceedings of SPIE.1991 (1652): P50-61
[17]Pai, Tun-Wen et al.. Morphological Image Processing with Application to Medical Imaging. Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medical and Biology Society. 1990:P160-162
[18]Trahanias, P. E..An Approach to QRS Complex Detection Using Mathematical Morphology. IEEE Trans. on Biomedical Engineering. 1993,40 (2): P201-205
[19]封根泉．心脑电图电子计算机分析的原理和应用．科学出版社．1986：12-20页
[20]CHEE-HUNG HENRY CHU, EDWARD J. DELP.Impulsive Noise Suppression and Background Normalization of Electrocardiogram Signals Using Morphological Operators.IEEE Trans.on Biomedical Engineering. 1989, 36 (2): P262-273
[21]Mark Allen Schulze, B.A., B.S.E.E., M.S.E.. Biomedical Image Processing with Morphology-Based Nonlinear Filters. The University of Texas at Austin. Dissertation for the Degree of Doctor of Philosophy. 1994:P40-41
[22]M.H. Sedaaghi. ECG Wave Detection Using Morphological Filters. Applied Signal Processing. 1998 (5): P182-194
[23]吴世法．近代成像技术与图像处理．国防工业出版社．1997：75-77页
[24]袁华等．边缘检测及其在医学图像中的应用．生物医学工程杂志．2001，18(1)：145-153页
[25]刘慧敏等．图像边缘信息分析中数学形态学的应用方法．武汉大学学报，信息科学版．2001，26(4)：325-330页
[26]陈桂明，张照明，戚红雨．应用MATLAB语言处理数字信号与数字图像．科学出版社．2000：29-109页
[27]王晓丹，吴崇明．基于MATLAB的系统分析与设计——图像处理．西安电子科技大学出版社．2000：131-139页
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |