Search Results - level set method with improved boundary indicator function

Level-set based adaptive-active contour segmentation technique with long short-term memory for diabetic retinopathy classification by Bhansali, Ashok, Patra, Rajkumar, Abouhawwash, Mohamed, Askar, S. S., Awasthy, Mohan, Rao, K. B. V. Brahma

“…) to segment the images by improving the boundary conditions and detecting the edges using Level Set Method with Improved Boundary Indicator Function (LSMIBIF…”
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A Laplace operator-based active contour model with improved image edge detection performance by Ma, Ping, Yuan, Hao, Chen, Yiyang, Chen, Hongtian, Weng, Guirong, Liu, Yuan

“… LOACM combines the global pre-fitting function which is constructed by using the image's second-order gradient information with the adaptive boundary indicator function to build a hybrid model…”
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An adaptive level set method for improving image segmentation by Hsieh, Chi-Wen, Chen, Chih-Yen

“… To address this problem, an attempt by improving Distance Regularized Level Set Evolution (DRLSE) model has been made to build up an effective and accurate active contour model to improve the segmentation ability…”
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Separation between water and land in synthetic aperture radar images based on improved level set model by Liu, Jixiang, Wei, Xueyun, Li, Junxiao, Zheng, Wei, Jin, Biao, Feng, Youbing, Xi, Caiping

“… In the traditional distance regularized level set method, the selection of the image correlation weight coefficient and the edge indicator function directly influences the accuracy of the final segmentation results…”
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Enhanced medical image segmentation using novel level set evolution and efficient optimization by Wali, Samad, Jhangeer, Adil, Rahimzai, Ariana Abdul, Samina, Samina, Imran, Mudassar

“… Unlike prior edge-based algorithms, which frequently fail with noisy images and have large computing costs, our method incorporates an improved edge indicator term into the level set architecture…”
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An Improved Group Decision-Making Method for Evaluating Knowledge Sharing Levels in Digital Innovation Ecosystems by Su, Jiafu, Chen, Yijun, Liu, Hongyu, Zhang, Jingqiu, Zhang, Na, Du, Yupei

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Oriented distance regularized level set evolution for image segmentation by Liu, Panpan, Xu, Xianze

“… In this study, the authors improved the conventional distance regularized level set evolution method, introduced new edge indicator functions and proposed an oriented distance regularized level set…”
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Edge-based Local and Global Energy Active Contour Model Driven by Signed Pressure Force for Image Segmentation by Niaz, Asim, Iqbal, Ehtesham, Memon, Asif Aziz, Munir, Asad, Kim, Jin, Choi, Kwang Nam

“… Furthermore, the combined local and global statistical information is appended with the edge-indicator function to rapidly move the contour over objects…”
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A robust hybrid active contour model based on pre-fitting bias field correction for fast image segmentation by Lei, Yu, Weng, Guirong

“… the adaptive edge indicator function and level set formulation driven by bias field correction…”
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Level set evolution driven by optimized area energy term for image segmentation by Zhang, Xinyu, Weng, Guirong

“… easy to leak from objects with weak boundaries and fall into false boundaries. In this paper, an improved level set evolution model is proposed, in which an optimized area…”
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Level set incorporated with an improved MRF model for unsupervised change detection for satellite images by Zhang, Xiaokang, Shi, Wenzhong, Hao, Ming, Shao, Pan, Lyu, Xuzhe

“…This study proposes the use of a level set incorporated with an improved Markov random field (MRF…”
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Comprehensive Eutrophication Assessment Based on Fuzzy Matter Element Model and Monte Carlo-Triangular Fuzzy Numbers Approach by Wang, Yumin, Ran, Weijian

“…Evaluating the eutrophication level of lakes with a single method alone is challenging since uncertain, fuzzy, and complex processes exist in eutrophication evaluations…”
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Health State Assessment of Road Tunnel Based on Improved Extension Cloud Model by Cui, Hongjun, Chen, Guang, Zhu, Minqing, Su, Yue, Liu, Jingxuan

“… The changing trend of tunnel health is not considered in existing research. Most evaluation indicators are static and the ambiguities or randomness at the boundary of the health level intervals is neglected in most evaluation methods…”
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Predicting water content using Gaussian model on soil spectra by Whiting, Michael L, Li, Lin, Ustin, Susan L

“… Convex hull boundary points were used to isolate the spectral continuum and to fit the inverted Gaussian function…”
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Fast Improved Kernel Fuzzy C-Means (IKFCM) clustering for image segmentation on level set method by Saikumar, T., Yojana, K., Madhava Rao, C., Murthy, P. S.

“… On the basis of Improved KFCM the edge indicator function was redefined. Using the edge indicator function the segmentation of images was performed to extract the regions of interest for further processing…”
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An improved watershed segmentation using complex wavelets and modified level set method by Yugander, P., Babu, J. S.

“… The edge indicator function of the modified level set method was used to extract the boundaries of objects…”
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Application of Unbalanced Data Classification Algorithm in Quantitative Financial Risk Management by Zhu, JinPeng, Wang, HanChen

“… This article first constructs the model's early-warning indicator system, and determines the state indicators by synthesizing the two state indicator definition methods based on the crisis…”
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MR Image Segmentation Based On Fuzzy C-Means Clustering and the Level Set Method by Chengzhong Huang, Bin Yan, Hua Jiang, Dahui Wang

“…), such as fuzzy boundary or low contrast. In this paper, a level set method was presented in which fuzzy c-means (FCM…”
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The Role of UI GreenMetric as a Global Sustainable Rankings for Higher Education Institutions by Nyoman Suwartha, Mohammed Ali Berawi

“…This note is presented as continuance discussion in previous edition more focus on how Higher Education Institutions (HEIs) contribute to create sustainable…”
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Constrained Optimisation of Spatial Sampling: A Geostatistical Approach by Van Groenigen, Jan-Willem

“…Aims This thesis aims at the development of optimal sampling strategies for geostatistical studies. Special emphasis is on the optimal use of ancillary data,…”
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