基于增强双边滤波的图像分割模型及应用
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摘要
为解决图像分割中低分辨率、边界模糊及光照因素导致的分割精度低等问题,提出一种基于增强的双边滤波的区域分割模型。提出一种增强的自适应双边滤波算法,保持图像边界结构并抵制噪声的影响;构建一种基于改进的双边滤波的区域分割模型,在模型中加入正则化项,确保重新初始化过程及加速曲线的演化。实验结果表明,提出模型性能优于其它经典的分割模型。
To solve the problems of low segmentation accuracy due to low resolution,blurred boundaries and poor illumination in image segmentation,a region-based model based on enhanced bilateral filter was proposed.An enhanced adaptive bilateral filter was utilized to preserve edge structures and to resist the noise of the image.A region-based model based on the bilateral filter was constructed into the level set framework.A regularization term was used to ensure the process of re-initialization as well as speed up the curve evolution.Experimental results show that the proposed model performs better than other well-known segmentation models.
To solve the problems of low segmentation accuracy due to low resolution,blurred boundaries and poor illumination in image segmentation,a region-based model based on enhanced bilateral filter was proposed.An enhanced adaptive bilateral filter was utilized to preserve edge structures and to resist the noise of the image.A region-based model based on the bilateral filter was constructed into the level set framework.A regularization term was used to ensure the process of re-initialization as well as speed up the curve evolution.Experimental results show that the proposed model performs better than other well-known segmentation models.
引文
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[37]Ramme AJ,Voss K,Lesporis J,et al.Automated bone segmentation and surface evaluation of a small animal model of post-traumatic osteoarthritis[J].Annals of Biomedical Engineering,2017,45(5):1227-1235.
[2]Bakhshali MA.Segmentation and enhancement of brain MR images using fuzzy clustering based on information theory[J].Soft Computing,2017,21(22):6633-6640.
[3]Arganda-Carreras I,Kaynig V,Rueden C,et al.Trainable Weka segmentation:A machine learning tool for microscopy pixel classification[J]. Bioinformatics,2017,33(15):2424-2426.
[4]Liu Z,Li X,Luo P,et al.Deep learning Markov random field for semantic segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2018,40(8):1814-1828.
[5]Cha KH,Hadjiiski L,Samala RK,et al.Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets[J].Medical Physics,2016,43(4):1882-1896.
[6]Shen J,Du Y,Wang W,et al.Lazy random walks for superpixel segmentation[J].IEEE Transactions on Image Processing,2014,23(4):1451-1462.
[7]Qin F,Guo J,Lang F.Superpixel segmentation for polarimetric SAR imagery using local iterative clustering[J].IEEE Geoscience and Remote Sensing Letters,2015,12(1):13-17.
[8]Zhang Y,Li X,Gao X,et al.A simple algorithm of superpixel segmentation with boundary constraint[J].IEEE Transactions on Circuits and Systems for Video Technology,2017,27(7):1502-1514.
[9]Clauss K,Ottinger M,Kuenzer C.Mapping rice areas with Sentinel-1time series and superpixel segmentation[J].International Journal of Remote Sensing,2018,39(5):1399-1420.
[10]Zhao Y,Rada L,Chen K,et al.Automated vessel segmentation using infinite perimeter active contour model with hybrid region information with application to retinal images[J].IEEE Transactions on Medical Imaging,2015,34(9):1797-1807.
[11]Niu S,Chen Q,De Sisternes L,et al.Robust noise regionbased active contour model via local similarity factor for image segmentation[J].Pattern Recognition,2017,61:104-119.
[12]Shi J,Wu J,Anisetti M,et al.An interval type-2fuzzy active contour model for auroral oval segmentation[J].Soft Computing,2017,21(9):2325-2345.
[13]Meng X,Gu W,Chen Y,et al.Brain MR image segmentation based on an improved active contour model[J].Plos One,2017,12(8):e0183943.
[14]Wang XF,Huang DS,Xu H.An efficient local Chan-Vese model for image segmentation[J].Pattern Recognition,2010,43(3):603-618.
[15]Li C,Xu C,Gui C,et al.Distance regularized level set evolution and its application to image segmentation[J].IEEE Transactions on Image Processing,2010,19(12):3243-3254.
[16]Zhang K,Zhang L,Song H,et al.Active contours with selective local or global segmentation:A new formulation and level set method[J].Image and Vision Computing,2010,28(4):668-676.
[17]Wang L,He L,Mishra A,et al.Active contours driven by local Gaussian distribution fitting energy[J].Signal Processing,2009,89(12):2435-2447.
[18]Chan TF,Sandberg BY,Vese LA.Active contours without edges for vector-valued images[J].Journal of Visual Communication and Image Representation,2000,11(2):130-141.
[19]Wang Z,Vemuri BC.An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation[C]//Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2004:I-228-I-233.
[20]Zhang K,Zhang L,Lam KM,et al.A level set approach to image segmentation with intensity inhomogeneity[J].IEEE Transactions on Cybernetics,2016,46(2):546-557.
[21]Ganeshrao SB,Turpin A,Denniss J,et al.Enhancing structure-function correlations in glaucoma with customized spatial mapping[J].Ophthalmology,2015,122(8):1695-1705.
[22]Kubicek J,Penhaker M,Augustynek M,et al.Utilization of medical image soft segmentation based on fuzzy sets classification process modified by local aggregation approach[J].Journal of Telecommunication,Electronic and Computer Engineering,2018,10(1-8):109-113.
[23]Chen CI,Chen YC.A neural-network-based data-driven nonlinear model on time-and frequency-domain voltage-current characterization for power-quality study[J].IEEE Transactions on Power Delivery,2015,30(3):1577-1584.
[24]Lu Z,Carneiro G,Bradley AP.An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells[J].IEEE Transactions on Image Processing,2015,24(4):1261-1272.
[25]Michel J,Youssefi D,Grizonnet M.Stable mean-shift algorithm and its application to the segmentation of arbitrarily large remote sensing images[J].IEEE Transactions on Geoscience and Remote Sensing,2015,53(2):952-964.
[26]Zafari S,Eerola T,Sampo J,et al.Segmentation of overlapping elliptical objects in silhouette images[J].IEEE Transactions on Image Processing,2015,24(12):5942-5952.
[27]Yang G,Zhuang X,Khan H,et al.Fully automatic segmentation and objective assessment of atrial scars for longstanding persistent atrial fibrillation patients using late gadolinium-enhanced MRI[J].Medical Physics,2018,45(4):1562-1576.
[28]Wang L,Zhu J,Sheng M,et al.Simultaneous segmentation and bias field estimation using local fitted images[J].Pattern Recognition,2018,74:145-155.
[29]Huang H,Li X,Chen C.Individual tree crown detection and delineation from very-high-resolution UAV images based on bias field and marker-controlled watershed segmentation algorithms[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018,11(7):2253-2262.
[30]Gao J,Dai X,Zhu C,et al.Super voxel segmentation and bias correction of MR image with intensity inhomogeneity[J].Neural Processing Letters,2018,48(1):153-166.
[31]Kang X,Li S,Benediktsson JA.Spectral-spatial hyperspectral image classification with edge-preserving filtering[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(5):2666-2677.
[32]Papari G,Idowu N,Varslot T.Fast bilateral filtering for denoising large 3Dimages[J].IEEE Transactions on Image Processing,2017,26(1):251-261.
[33]Prabhu V,Kuppusamy PG,Karthikeyan A,et al.Evaluation and analysis of data driven in expectation maximization segmentation through various initialization techniques in medical images[J]. Multimedia Tools and Applications,2018,77(8):10375-10390.
[34]Meng Q,Kitasaka T,Oda M,et al.Airway segmentation from 3Dchest CT volumes based on volume of interest using gradient vector flow[J]. Medical Imaging Technology,2018,36(3):133-146.
[35]Dharavath R,Singh AK.Entity resolution-based Jaccard similarity coefficient for heterogeneous distributed databases[C]//Proceedings of the 2nd International Conference on Computer and Communication Technologies.Springer,New Delhi,2016:497-507.
[36]Yang J,Lu L,Tan W,et al.A modified MRF algorithm based on neighborhood spatial information for MRI brain tissue segmentation[J].Journal of Medical Imaging and Health Informatics,2017,7(7):1525-1530.
[37]Ramme AJ,Voss K,Lesporis J,et al.Automated bone segmentation and surface evaluation of a small animal model of post-traumatic osteoarthritis[J].Annals of Biomedical Engineering,2017,45(5):1227-1235.