Texture image segmentation using Vonn mixtures-based hidden Markov tree model and relative phase
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Choi H, Baraniuk RG (2001) Multiscale image segmentation using wavelet-domain hidden Markov models. IEEE Trans Image Process 10(9):1309–1321
Dharmagunawardhana C, Mahmoodi S, Bennett M, Niranjan M (2014) Gaussian Markov random field based improved texture descriptor for image segmentation. Image Vis Comput 32:884–895
Dong FF, Peng JL (2014) Brain MR image segmentation based on local Gaussian mixture model and nonlocal spatial regularization. J Vis Commun Image Represent 25:827–839
Feng N, Geng X, Qin L (2020) Study on MRI medical image segmentation technology based on CNN-CRF model. IEEE Access 8:60505–60514
Gao G, Wen C, Wang H (2017) Fast and robust image segmentation with active contours and Student’s-t mixture model. Pattern Recogn 63:71–86
Gu J, Wang Z, Kuen J, Ma L, Shahroudy A, Shuai B, Liu T, Wang X, Wang G, Cai J, Chen T (2018) Recent advances in convolutional neural networks. Pattern Recogn 77:354–377
Haindl M, Mikes S (2006) Unsupervised texture segmentation using multispectral modeling approach. IEEE International Conference on Pattern Recognition (ICPR), Hong Kong, China, 2: 203–206
Hill PR, Anantrasirichai N, Achim A, AlMualla ME, Bull DR (2015) Undecimated dual-tree complex wavelet transforms. Signal Process Image Commun 35:61–70
Karadag OO, Yarman Vural FT. The Image segmentation by fusion of low level and domain specific information via Markov Random Fields. Pattern Recogn Lett, 2014, 46: 75–82.
Kiechle M, Storath M, Weinmann A, Kleinsteuber M (2018) Model-based learning of local image features for unsupervised texture segmentation. IEEE Trans Image Process 27(4):1994–2007
Kingsbury N (2001) Complex wavelets for shift invariant analysis and filtering of signals. J Appl Comput Harmon Anal 10(3):234–253
Kurnianingsih H, Khalid SA, Lukito EN, Widyawan (2019) Segmentation and classification of cervical cells using deep learning. IEEE Access 7:116925–116941
Lasmar NE, Berthoumieu Y (2014) Gaussian copula multivariate modeling for texture image retrieval using wavelet transforms. IEEE Trans Image Process 23(5):2246–2261
Liang C, Paul B, Kensaku M, Kazunari M (2018) DRINet for medical image segmentation. IEEE Trans Med Imaging 37(11):2453–2462
Liu R, Jiang D, Zhang L, Zhang Z (2020) Deep depthwise separable convolutional network for change detection in optical aerial images. IEEE J Select Topics Appl Earth Observ Remote Sens 13:1109–1118
Pereyra M, Dobigeon N, Batatia H, Tourneret JY (2012) Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture model. IEEE Trans Med Imaging 31(8):1509–1520
Pyun KP, Lim J, Won CS (2007) Image segmentation using hidden Markov gauss mixture models. IEEE Trans Image Process 16(7):1902–1911
Qiao Y, Zhao G (2016) Texture segmentation using Laplace distribution-based wavelet-domain hidden Markov tree models. Entropy 18(11):384
Riad R, Jennane R, Brahim A, Janvier T (2018) Texture analysis using complex wavelet decomposition for knee osteoarthritis detection: data from the osteoarthritis initiative. Comput Electr Eng 68:181–191
Song Y, Zhang S, He B, Sha Q, Shen Y, Yan T, Nian R, Lendasse A (2018) Gaussian derivative models and ensemble extreme learning machine for texture image classification. Neurocomputing 277:53–64
Thanh MN, Jonathan WQM (2013) Fast and robust spatially constrained Gaussian mixture model for image segmentation. IEEE Trans Circuits Syst Video Technol 23(4):621–634
Toufique AS, Ahmed JA, Ahmed AS (2019) Impact of image enhancement technique on CNN model for retinal blood vessels segmentation. IEEE Access 7:158183–158197
Vo A, Oraintara S, Nguyen N (2011) Vonn distribution of relative phase for statistical image modeling in complex wavelet domain. Signal Process 91(1):114–125
Wang XY, Sun WW, Wu ZF, Yang HY, Wang QY (2015) Color image segmentation using PDTDFB domain hidden Markov tree model. Appl Soft Comput 29:138–152
Wang C, Muhammad J, Wang Y, He Z, Sun Z (2020) Towards complete and accurate iris segmentation using deep multi-task attention network for non-nooperative iris recognition. IEEE Trans Inform Forensics Secur 15:2944–2959
Xian M, Zhang Y, Cheng HD, Xu F, Zhang B, Ding J (2018) Automatic breast ultrasound image segmentation: a survey. Pattern Recogn 79:340–355
Yuan J, Wang D, Cheriyadat AM (2015) Factorization-based texture segmentation. IEEE Trans Image Process 24(11):3488–3497
Zhang Y, He Z, Zhang Y (2011) Global optimization of wavelet-domain hidden Markov tree for image segmentation. Pattern Recogn 44(12):2811–2818