Autosoft Journal

Online Manuscript Access



Li-Hong Juang ()*

School of Electrical Engineering and Automation, Xiamen University of Technology, No.600, Ligong Road, Jimei, 360124, P.R.China

Ming-Ni Wu

Department of Information Management, National Taichung University of Technology, Taichung, Taiwan



In this paper we explore these math approaches for medical image applications. The application of the proposed method for detection tumor will be able to distinguish exactly tumor size and region. In this research, some major design and experimental results of tumor objects detection method for medical brain images is developed to utilize an automatic multi-thresholding method to handle this problem by combining the histogram analysis and the Otsu clustering. The histogram evaluations can decide the superior number of clusters firstly. The Otsu classification algorithm solves the given medical image by continuously separating the input gray-level image by multi-thresholding until reaching optimal smooth rate. The method solves exactly the problem of the uncertain contoured objects in medical image by using the Otsu clustering classification with automatic multi-thresholding operation.



Total Pages: 10
Pages: 257-266


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Volume: 24
Issue: 2
Year: 2018

Cite this document


Abeyratne, U.R., A.P. Petropulu, and J.M. Reid. "On Modeling the Tissue Response from Ultrasonic B-Scan Images." IEEE Transactions on Medical Imaging 15.4 (1996): 479-490. Crossref. Web.

Brandt, Michael E. et al. "Estimation of CSF, White and Gray Matter Volumes in Hydrocephalic Children Using Fuzzy Clustering of Mr Images." Computerized Medical Imaging and Graphics 18.1 (1994): 25-34. Crossref. Web.

Clarke, L.P. et al. "MRI Segmentation: Methods and Applications." Magnetic Resonance Imaging 13.3 (1995): 343-368. Crossref. Web.

Cohen, F.S., G. Georgiou, and E.J. Halpern. "WOLD Decomposition of the Backscatter Echo in Ultrasound Images of Soft Tissue Organs." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 44.2 (1997): 460-472. Crossref. Web.

DeLa Paz R.L. J. SPIE

Donohue, K.D. et al. "Analysis and Classification of Tissue with Scatterer Structure Templates." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 46.2 (1999): 300-310. Crossref. Web.

Enzinger, F.M. & Weiss, S.W. (1995). Malignant vascular tumors. In F.M. Enzinger, S.W. Weiss, (Eds.), Soft tissue tumors (pp. 655–677). 3rd ed. St Louis, MO: Mosby.

Georgiou, G., and F.S. Cohen. "Statistical Characterization of Diffuse Scattering in Ultrasound Images." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 45.1 (1998): 57-64. Crossref. Web.

Grevera, G.J., and J.K. Udupa. "Shape-Based Interpolation of Multidimensional Grey-Level Images." IEEE Transactions on Medical Imaging 15.6 (1996): 881-892. Crossref. Web.

Van den Hauwe, L., and F. Ramon. "Lymphatic Tumors." Imaging of Soft Tissue Tumors (2001): 245-254. Crossref. Web.

Ji, Zexuan et al. "Generalized Rough Fuzzy c-Means Algorithm for Brain MR Image Segmentation." Computer Methods and Programs in Biomedicine 108.2 (2012): 644-655. Crossref. Web.

Juang, Li-Hong, and Ming-Ni Wu. "MRI Brain Lesion Image Detection Based on Color-Converted K-Means Clustering Segmentation." Measurement 43.7 (2010): 941-949. Crossref. Web.

Krinidis, Stelios, and Vassilios Chatzis. "A Robust Fuzzy Local Information C-Means Clustering Algorithm." IEEE Transactions on Image Processing 19.5 (2010): 1328-1337. Crossref. Web.

Kurita, T., N. Otsu, and N. Abdelmalek. "Maximum Likelihood Thresholding Based on Population Mixture Models." Pattern Recognition 25.10 (1992): 1231-1240. Crossref. Web.

Lashari, Saima Anwar, and Rosziati Ibrahim. "A Framework for Medical Images Classification Using Soft Set." Procedia Technology 11 (2013): 548-556. Crossref. Web.

Lingras, Pawan, and Chad West. "Interval Set Clustering of Web Users with Rough K-Means." Journal of Intelligent Information Systems 23.1 (2004): 5-16. Crossref. Web.

Maji, P., and S.K. Pal. "Rough Set Based Generalized Fuzzy $C$ -Means Algorithm and Quantitative Indices." IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37.6 (2007): 1529-1540. Crossref. Web.

Xiaolong Ouyang et al. "Incorporation of Correlated Structural Images in PET Image Reconstruction." IEEE Transactions on Medical Imaging 13.4 (1994): 627-640. Crossref. Web.

Ozkan, M., B.M. Dawant, and R.J. Maciunas. "Neural-Network-Based Segmentation of Multi-Modal Medical Images: a Comparative and Prospective Study." IEEE Transactions on Medical Imaging 12.3 (1993): 534-544. Crossref. Web.

Peck, Donald J. et al. "Cerebral Tumor Volume Calculations Using Planimetric and Eigenimage Analysis." Medical Physics 23.12 (1996): 2035-2042. Crossref. Web.

Peck, D. J. et al. "A Fast and Accurate Algorithm for Volume Determination in MRI." Medical Physics 19.3 (1992): 599-605. Crossref. Web.

Phillips, W.E. et al. "Application of Fuzzy c-Means Segmentation Technique for Tissue Differentiation in MR Images of a Hemorrhagic Glioblastoma Multiforme." Magnetic Resonance Imaging 13.2 (1995): 277-290. Crossref. Web.

Rangarajan, Anand, Ing-Tsung Hsiao, and Gene Gindi. Journal of Mathematical Imaging and Vision 12.3 (2000): 199-217. Crossref. Web.

Simmons, Andrew et al. "Improvements to the Quality of MRI Cluster Analysis." Magnetic Resonance Imaging 12.8 (1994): 1191-1204. Crossref. Web.

Soltanian-Zadeh, H., J.P. Windham, and D.J. Peck. "Optimal Linear Transformation for MRI Feature Extraction." IEEE Transactions on Medical Imaging 15.6 (1996): 749-767. Crossref. Web.

"Magnetic Resonance in Medicine." n. pag. Crossref. Web.

Soltanian-Zadeh, H., J.P. Windham, and A.E. Yagle. "Optimal Transformation for Correcting Partial Volume Averaging Effects in Magnetic Resonance Imaging." IEEE Transactions on Nuclear Science 40.4 (1993): 1204-1212. Crossref. Web.

Soltanian-Zadeh, Hamid. "Novel and General Approach to Linear Filter Design for Contrast-to-Noise Ratio Enhancement of Magnetic Resonance Images with Multiple Interfering Features in the Scene." Journal of Electronic Imaging 1.2 (1992): 171. Crossref. Web.

Soltanian-Zadeh, H. et al. "A Comparative Analysis of Several Transformations for Enhancement and Segmentation of Magnetic Resonance Image Scene Sequences." IEEE Transactions on Medical Imaging 11.3 (1992): 302-318. Crossref. Web.

Soltanian-Zadeh, H., J.P. Windham, and J.M. Jenkins. "Error Propagation in Eigenimage Filtering." IEEE Transactions on Medical Imaging 9.4 (1990): 405-420. Crossref. Web.

TU, KAO-YIN et al. "EMPIRICAL STUDIES OF CROSS-REFERENCE MAXIMUM LIKELIHOOD ESTIMATE RECONSTRUCTION FOR POSITRON EMISSION TOMOGRAPHY." Biomedical Engineering: Applications, Basis and Communications 13.01 (2001): 1-7. Crossref. Web.

Vaidyanathan, M. et al. "Comparison of Supervised MRI Segmentation Methods for Tumor Volume Determination During Therapy." Magnetic Resonance Imaging 13.5 (1995): 719-728. Crossref. Web.

"Journal of Magnetic Resonance Imaging." n. pag. Crossref. Web.


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048