A Review on Texture Analysis Methods in Biomedical Image Processing

Ali Ahmadvand1 and Mohammad Reza Daliri2* 1School of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran 2Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Iran *Corresponding author: Mohammad Reza Daliri, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, 16846-13114 Tehran, Iran, Tel: +98-217 322 5738; Fax: +98-217 322 5777; E-mail: daliri@iust.ac.ir

[1]  J M Brady,et al.  Image filtering techniques for medical image post-processing: an overview. , 2004, The British journal of radiology.

[2]  Jitendra Malik,et al.  Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.

[3]  Vasileios Megalooikonomou,et al.  Trabecular bone texture classification using wavelet leaders , 2016, SPIE Medical Imaging.

[4]  Vikrant Bhateja,et al.  Multimodal Medical Image Sensor Fusion Framework Using Cascade of Wavelet and Contourlet Transform Domains , 2015, IEEE Sensors Journal.

[5]  Niraj P. Doshi,et al.  Multi-dimensional local binary pattern texture descriptors and their application for medical image analysis , 2014 .

[6]  Mohammad Reza Daliri,et al.  Improving the runtime of MRF based method for MRI brain segmentation , 2015, Appl. Math. Comput..

[7]  Miguel Tavares Coimbra,et al.  Invariant Gabor Texture Descriptors for Classification of Gastroenterology Images , 2012, IEEE Transactions on Biomedical Engineering.

[8]  Mohammad Reza Daliri,et al.  Invariant texture classification using a spatial filter bank in multi-resolution analysis , 2016, Image Vis. Comput..

[9]  Mohammad Reza Mosavi,et al.  A novel CMC based method for MR! brain image segmentation , 2015, 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI).

[10]  A Webber local binary pattern descriptor for pancreas endoscopic ultrasound image classification , 2014, 2014 IEEE Workshop on Electronics, Computer and Applications.

[11]  Erkki Oja,et al.  Texture discrimination with multidimensional distributions of signed gray-level differences , 2001, Pattern Recognit..

[12]  Mohammad Reza Daliri,et al.  Rotation invariant texture classification using extended wavelet channel combining and LL channel filter bank , 2016, Knowl. Based Syst..

[13]  L. Costaridou,et al.  Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis. , 2007, The British journal of radiology.

[14]  Hayit Greenspan,et al.  Localized Fisher vector representation for pathology detection in chest radiographs , 2016, SPIE Medical Imaging.

[15]  Dimitri Van De Ville,et al.  Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities , 2014, Medical Image Anal..

[16]  Mohammad Reza Mosavi,et al.  A novel LBP method for invariant texture classification , 2015, 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI).

[17]  Ali Ahmadvand,et al.  Multispectral MRI image segmentation using Markov random field model , 2016, Signal Image Video Process..

[18]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[20]  Mohammad Reza Daliri,et al.  Supervised segmentation of MRI brain images using combination of multiple classifiers , 2015, Australasian Physical & Engineering Sciences in Medicine.