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Gotowe bibliografie tematyczne / Snake Segmentation

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Gotowa bibliografia na temat „Snake Segmentation”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Snake Segmentation"

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Handayani, Astri, Andriyan B. Suksmono, Tati L. R. Mengko, and Akira Hirose. "Blood Vessel Segmentation in Complex-Valued Magnetic Resonance Images with Snake Active Contour Model." International Journal of E-Health and Medical Communications 1, no. 1 (2010): 41–52. http://dx.doi.org/10.4018/jehmc.2010010104.

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Accurate blood vessel segmentation plays a crucial role in non-invasive blood flow velocity measurement based on complex-valued magnetic resonance images. We propose a specific snake active contour model-based blood vessel segmentation framework for complex-valued magnetic resonance images. The proposed framework combines both magnitude and phase information from a complex-valued image representation to obtain an optimum segmentation result. Magnitude information of the complex-valued image provides a structural localization of the target object, while phase information identifies the existenc

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Huang, Xing, Haozhi Zhu, and Jiexin Wang. "Adoption of Snake Variable Model-Based Method in Segmentation and Quantitative Calculation of Cardiac Ultrasound Medical Images." Journal of Healthcare Engineering 2021 (July 26, 2021): 1–13. http://dx.doi.org/10.1155/2021/2425482.

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This paper intends to explore the effect of the enhanced snake variable model in the segmentation of cardiac ultrasound images and its adoption in quantitative measurement of cardiac cavity. First, the basic principles of the traditional snake model and the gradient vector flow (GVF) snake model are explained. Then, an ellipsoid model is constructed to obtain the initial contour of the heart based on the three-dimensional volume of cardiac ultrasound image, and a discretized triangular mesh model is generated. Finally, the vortical gradient vector flow (VGVF) external force field is introduced

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Huang, Wen Bo, Yang Yan, and Yun Ji Wang. "Boundary Segmentation Based on Improved GVF Snake Model." Advanced Materials Research 756-759 (September 2013): 3920–23. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3920.

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The gradient vector flow (GVF) Snake models are active contour models: they lock onto nearby edges, localizing them accurately. GVF refers to the definition of a bidirectional external force that can capture the object boundaries from either sides and can deal with concave regions. However, we find that there is a main disadvantage of GVF Snakes---- there are some critical points in the model, the critical points must be included in the initial contour or must not be contained internal, and otherwise, it could not converge to the correct boundary. To solve this problem, we propose an improved

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Wang, Jiyuan, Hanqing Zou, Shaokun Sun, Wenqian Xu, and Jie Jin. "Edge Segmentation Algorithm‐Based Prevention of Recurrent Laryngeal Nerve Injury in Treatment of Thyroid Nodules Using Ultrasound Images." Scientific Programming 2021 (September 14, 2021): 1–7. http://dx.doi.org/10.1155/2021/6583110.

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The study was aimed to explore the segmentation effects of different algorithms on thyroid nodule ultrasound images, so as to better protect the recurrent laryngeal nerve during thyroid surgery. Specifically, 186 patients with thyroid nodules were selected as the research objects. The segmentation performances of the gradient vector flow (GVF) Snake, Watershed, and Snake algorithms were compared from 6 aspects of image segmentation effects, pixel accuracy (PA), Intersection over Union (IOU) value, algorithm running time, postoperative recurrent laryngeal nerve injury, intraoperative bleeding v

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Zhang, Xue Fei. "An Improved Directional GVF Snake." Applied Mechanics and Materials 644-650 (September 2014): 4501–4. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4501.

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Gradient Vector Flow (GVF) Snake has been extensively utilized in handling image segmentation and classification problems. However, GVF Snake has a drawback in that it sometimes may fail to stop the snake at weak edges, especially at the locations where a weak edge is very close to a strong one or some noise. To guide the snake toward the appropriate edges, we have added gradient directional information to the external image force to create a “directional snake”. Experiments prove that the new model limits the influence of false edge, avoid the edge leak, and obtains desired segmentation resul

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Wu, Jun Peng, and Hai Tao Guo. "Underwater Sonar Image Segmentation Based on Snake Model." Applied Mechanics and Materials 448-453 (October 2013): 3675–78. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3675.

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The underwater sonar image segmentation has been a topic of research for decades. Underwater sonar image is based on the interaction by the echo signal of sound toward the underwater objects or targets. Because of the serious noises polution and the dim target edge, the contrast and resolution of sonar images are obtaind in a decreased quanlity. This paper proposes an improved snake model that focuses on solving underwater target detection and recognition. According to the traditional snake model, it is defined as an energy minimizing spline which is influenced by external constraint forces, a

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Lan, Hong, and Le Quan Min. "Improved Snake Model Algorithm with Application in Liver Image Segmentation." Applied Mechanics and Materials 263-266 (December 2012): 2643–48. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2643.

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Snake model is one of classical active contour models, and is widely used in the image segmentation. But it has defects of sensitive to the initial contour and lack of curvature constraints. This paper presents an improved Snake model algorithm, which initializes contour by maker control watershed algorithm and adds an external force related with the curve shape into the energy function of Snake model to solve the problem about curvature constraints. Testing on the Magnetic Resonance (MR) images of the abdomen for liver image segmentation proves that the new algorithm can achieve good results.

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Midha, Sugandhi. "Performance Evaluation Study of Active Contour Models in Medical Imaging." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 6 (2013): 2703–8. http://dx.doi.org/10.24297/ijct.v11i6.3045.

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Over the past years image segmentation has played an important role in medical imaging. Segmented images are used for a number of applications such as computer aided surgery, treatment planning, diagnosis, study of anatomical structures and many more. Deformable models provide a general method of performing non-rigid object segmentation. They offer an attractive approach to overcome the limitations of traditional low level segmentation approaches. A snake is a flexible deformable model which can be matched to an image contour by energy minimisation. Snakes are a powerful technique in segmentin

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Li, Yin Wei, Wen Ming Huang, and Wen Zheng Cai. "CSF Cell Images Segmentation Using a Hybrid Model Based on Watershed and Snake." Applied Mechanics and Materials 321-324 (June 2013): 1051–54. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1051.

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In this paper, a new image segmentation approach is proposed based on the morphological watershed transform and an improved balloon snake algorithm for reducing the incorrect segmenting rate that caused by uneven dyeing of Cerebrospinal Fluid (CSF) cells. Firstly, a marker-controlled watershed pre-segmentation was applied to resolve the over-segmentation problem of the watershed and eliminate the approximate contour of CSF cells. Secondly, due to the weak boundary of some cytoplasm, we performed a coarse segmentation by using an improved balloon snake to dilate the watershed result. Finally, a

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GIRALDI, GILSON A., and ANTONIO A. F. OLIVEIRA. "INVARIANT SNAKES AND INITIALIZATION OF DEFORMABLE MODELS." International Journal of Image and Graphics 04, no. 03 (2004): 363–84. http://dx.doi.org/10.1142/s0219467804001464.

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Parametric snake models are deformable models very useful for boundary extraction and tracking. Despite their abilities, the non-invariance of the internal energy under affine transformations and the non-convexity of the model energy are known limitations for most of these methods. The former has been addressed in the context of active shape models. The latter can be addressed through Dual contour approaches as well as an automatic procedure to initialize the model closer to the desired boundary. In this paper we first analyze the effects of reparameterization for invariant snake models throug

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Rozprawy doktorskie na temat "Snake Segmentation"

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Tang, Woon Khang. "Automated Coronal Loop Segmentation Using Snake-Based Algorithm." Bowling Green State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1277139373.

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Tauber, Clovis. "Filtrage anisotrope robuste et segmentation par B-spline snake : application aux images échographiques." Phd thesis, Toulouse, INPT, 2005. http://oatao.univ-toulouse.fr/7357/1/tauber1.pdf.

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Le contexte de ce travail est le traitement d'images échographiques. Plus précisément, on s'est intéressé au filtrage et à la segmentation automatique d'images dégradées par du speckle. La première partie concerne les travaux effectués sur le filtrage du speckle. Ils ont abouti à la conception d'une méthode de diffusion anisotrope robuste, nommée -diffusion. Elle se fonde sur un coefficient de diffusion original qui exploite lui-mˆeme la statistique du coefficient de variation et une adaptation de la fonction de Tukey. Un estimateur robuste du paramètre d'échelle de ce filtre est présenté. L'é

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Tauber, Clovis Ayache Alain. "Filtrage anisotrope robuste et segmentation par B-Spline snake application aux images échographiques /." Toulouse : INP Toulouse, 2006. http://ethesis.inp-toulouse.fr/archive/00000035.

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Bianchi, Kevin. "Segmentation interactive d'images cardiaques dynamiques." Thesis, Clermont-Ferrand 1, 2014. http://www.theses.fr/2014CLF1MM23/document.

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La thèse porte sur la segmentation spatio-temporelle et interactive d'images cardiaquesdynamiques. Elle s'inscrit dans le projet ANR 3DSTRAIN du programme"Technologies pour la Santé et l'Autonomie" qui a pour objectif d'estimer de façoncomplète, dense et sur plusieurs modalités d'imagerie 3D+t (telles que l'imageriepar résonance magnétique (IRM), la tomographie par émission monophotonique(TEMP) et l'échocardiographie) l'indice de déformation du muscle cardiaque : lestrain. L'estimation du strain nécessite une étape de segmentation qui doit être laplus précise possible pour fournir une bonne év

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Ouwayed, Nazih. "Segmentation en lignes de documents anciens : applications aux documents arabes." Thesis, Nancy 2, 2010. http://www.theses.fr/2010NAN23001/document.

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L'indexation de documents numérisés manuscrits pose le problème de la segmentation en lignes qui, si elle échoue, handicape les étapes suivantes d'extraction et de reconnaissance de mots. Dans les documents arabes anciens, s'ajoute à ce problème, la présence dans les marges, d'annotations souvent composées de lignes obliques. La détection de ces lignes est nécessaire et constitue un défi important pour l'indexation de ces documents. Ainsi, la segmentation visée dans ce travail de thèse concerne l'extraction de lignes multi-orientées. Pour ce problème, la bibliographie ne présente que des techn

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Ouwayed, Nazih. "Segmentation en lignes de documents anciens : applications aux documents arabes." Electronic Thesis or Diss., Nancy 2, 2010. http://www.theses.fr/2010NAN23001.

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L'indexation de documents numérisés manuscrits pose le problème de la segmentation en lignes qui, si elle échoue, handicape les étapes suivantes d'extraction et de reconnaissance de mots. Dans les documents arabes anciens, s'ajoute à ce problème, la présence dans les marges, d'annotations souvent composées de lignes obliques. La détection de ces lignes est nécessaire et constitue un défi important pour l'indexation de ces documents. Ainsi, la segmentation visée dans ce travail de thèse concerne l'extraction de lignes multi-orientées. Pour ce problème, la bibliographie ne présente que des techn

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Ouwayed, Nazih. "Segmentation en lignes de documents anciens : application aux documents arabes." Phd thesis, Université Nancy II, 2010. http://tel.archives-ouvertes.fr/tel-00495972.

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L'indexation de documents numérisés manuscrits pose le problème de la segmentation en lignes qui, si elle échoue, handicape les étapes suivantes d'extraction et de reconnaissance de mots. Dans les documents arabe anciens, s'ajoute à ce problème, la présence dans les marges, d'annotations souvent composées de lignes obliques. La détection de ces lignes est nécessaire et constitue un défi important pour l'indexation de ces documents. Ainsi, la segmentation visée dans ce travail de thèse concerne l'extraction de lignes multi-orientées. Pour ce problème, la bibliographie ne présente que des techni

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Hueber, Eric. "Segmentation d'images par contour actif : implantation optique avec un corrélateur incohérent ombroscopique." Phd thesis, Université de Haute Alsace - Mulhouse, 2002. http://tel.archives-ouvertes.fr/tel-00002984.

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Nous proposons de mettre en œuvre un prototype de processeur<br />optoélectronique destiné à segmenter par contour actif des images<br />réelles. Le processus de segmentation est fondé sur des algorithmes<br />statistiques itératifs qui contiennent des opérations de corrélation.<br />Notre première contribution a été de les adapter pour bénéficier de la<br />rapidité de la rapidité des corrélations optiques.<br /><br />Nous avons conçu et mis en œuvre un corrélateur incohérent ombroscopique<br />dont les résultats ont pu valider cette approche optoélectronique de la<br />segmentation par conto

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Gonulsen, Aysegul. "Feature Extraction Of Honeybee Forewings And Hindlegs Using Image Processing And Active Contours." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604738/index.pdf.

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Honeybees have a rich genetic diversity in Anatolia. This is reflected in the presence of numerous subspecies of honeybee in Turkey. In METU, Department of Biology, honeybee populations of different regions in Turkey are investigated in order to characterize population variation in these regions. A total of 23 length and angle features belonging to the honeybee hindlegs and forewings are measured in these studies using a microscope and a monitor. These measurements are carried out by placing rulers on the monitor that shows the honeybee image and getting the length and angle features. However,

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Haj, Hassan Hawraa. "Détection et classification temps réel de biocellules anormales par technique de segmentation d’images." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0043.

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Le développement de méthodes de la détection en temps réel de cellules anormales (pouvant être considérées comme des cellules cancéreuses) par captures et traitements bio-images sont des axes de recherche importants dans le domaine biomédical car cela contribue à diagnostiquer un cancer. C’est dans ce contexte que se situe ces travaux de thèse. Plus précisément, les travaux présentés dans ce manuscrit, se focalise sur le développement de procédures de lecture, de détection et de classification automatiques de bio-images de cellules anormales considérées comme des cellules cancéreuses. Par cons

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Części książek na temat "Snake Segmentation"

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Espona, L., M. J. Carreira, M. Ortega, and M. G. Penedo. "A Snake for Retinal Vessel Segmentation." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72849-8_23.

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Talebi, Mohammad, and Ahmad Ayatollahi. "Genetic Snake for Medical Ultrasound Image Segmentation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21596-4_6.

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Sheng, Chen, Yang Xin, Yao Liping, and Sun Kun. "Segmentation in Echocardiographic Sequences Using Shape-Based Snake Model." In Image Analysis and Processing – ICIAP 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553595_46.

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Karlsson, Adam, Kent Stråhlén, and Anders Heyden. "A Fast Snake Segmentation Method Applied to Histopathological Sections." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45063-4_17.

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Goudail, François, and Philippe Réfrégier. "Statistical Snake-Based Segmentation Adapted to Different Physical Noises." In Statistical Image Processing Techniques for Noisy Images. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-8855-3_5.

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Zhang, David, Hongzhi Zhang, and Bob Zhang. "A Snake-Based Approach to Automated Tongue Image Segmentation." In Tongue Image Analysis. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2167-1_4.

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Alemán-Flores, Miguel, Patricia Alemán-Flores, Luis Álvarez-León, M. Belén Esteban-Sánchez, Rafael Fuentes-Pavón, and José M. Santana-Montesdeoca. "Semiautomatic Snake-Based Segmentation of Solid Breast Nodules on Ultrasonography." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11556985_60.

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Ng, Kok-Why, Junaidi Abdullah, Sew-Lai Ng, and Hau-Lee Tong. "Snake-Based Boundary Search for Segmentation of 3D Polygonal Model." In Intelligent and Interactive Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6031-2_35.

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Zhang, Xinhong, Kun Cai, Fan Zhang, and Rui Li. "Contour Segmentation Based on GVF Snake Model and Contourlet Transform." In Intelligent Computing Theories and Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39482-9_58.

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Bueno, Gloria, Antonio Martínez-Albalá, and Antonio Adán. "Fuzzy-Snake Segmentation of Anatomical Structures Applied to CT Images." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30126-4_5.

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Streszczenia konferencji na temat "Snake Segmentation"

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Germain, Olivier, and Philippe Refregier. "Statistical multiregion snake-based segmentation." In International Symposium on Optical Science and Technology, edited by David C. Wilson, Hemant D. Tagare, Fred L. Bookstein, Francoise J. Preteux, and Edward R. Dougherty. SPIE, 2000. http://dx.doi.org/10.1117/12.402438.

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Ying Yang and Xin Gao. "Image segmentation using edgeflow-driven geometric snake." In 2007 International Conference on Wavelet Analysis and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/icwapr.2007.4420722.

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Peng, Sida, Wen Jiang, Huaijin Pi, Xiuli Li, Hujun Bao, and Xiaowei Zhou. "Deep Snake for Real-Time Instance Segmentation." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00856.

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Su, Zhihua, Jianguo Wei, Qiang Fang, Jianrong Wang, and Kiyoshi Honda. "Tongue Segmentation with Geometrically Constrained Snake Model." In Interspeech 2018. ISCA, 2018. http://dx.doi.org/10.21437/interspeech.2018-1108.

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Chi-Cheng Ting, Jhan-Syuan Yu, Jiun-Shuen Tzeng, and Jung-Hua Wang. "Improved Snake Model for Fast Image Segmentation." In The 2006 IEEE International Joint Conference on Neural Network Proceedings. IEEE, 2006. http://dx.doi.org/10.1109/ijcnn.2006.246913.

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Dagher, Issam, and Kamal El Tom. "WaterBalloons: A Hybrid Watershed Balloon Snake Segmentation." In 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4370921.

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Zhang, Hong-wei, and Zheng-guang Liu. "Wavelet-based snake model for image segmentation." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.655275.

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Liu, Fan, Binsheng Zhao, Peter Kijewski, Michelle S. Ginsberg, Liang Wang, and Lawrence H. Schwartz. "Automatic liver contour segmentation using GVF snake." In Medical Imaging 2004, edited by J. Michael Fitzpatrick and Milan Sonka. SPIE, 2004. http://dx.doi.org/10.1117/12.535276.

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Mustafa, Mahfuzah, Nur Azwa Omar Rashid, and Rosdiyana Samad. "BreAst Cancer Segmentation Based On GVF snake." In 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES). IEEE, 2014. http://dx.doi.org/10.1109/iecbes.2014.7047647.

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Bingrong, Wu, Xie Mei, Li Guo, and Gao Jingjing. "Medical Image Segmentation Based on GVF Snake Model." In 2009 Second International Conference on Intelligent Computation Technology and Automation. IEEE, 2009. http://dx.doi.org/10.1109/icicta.2009.159.

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