2008
DOI: 10.1016/j.imavis.2007.12.003
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Convergence analysis of active contours

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Cited by 10 publications
(4 citation statements)
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References 24 publications
(41 reference statements)
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“…At this point, the emphases on how important the water resource that has been disturbed by the sugar factory is really realised. To avoid the ramification of it, it is better we keep proper planning in implementing projects, especially projects that have aftermath on ambient environmental resources.It is better if we built our ideas on geometry and other modern science because geometry constitutes the shape of the object and Physics imposes the constraints in how the shape of the object can contrast over time, [7].…”
Section: Discussionmentioning
confidence: 99%
“…At this point, the emphases on how important the water resource that has been disturbed by the sugar factory is really realised. To avoid the ramification of it, it is better we keep proper planning in implementing projects, especially projects that have aftermath on ambient environmental resources.It is better if we built our ideas on geometry and other modern science because geometry constitutes the shape of the object and Physics imposes the constraints in how the shape of the object can contrast over time, [7].…”
Section: Discussionmentioning
confidence: 99%
“…These parameters control the inertia of the model in the process of adaptation to the data. The optimal values of all these parameters to accelerate the convergence process of the active contour can be found in [ 53 , 54 ].…”
Section: Methodsmentioning
confidence: 99%
“…As a relevant contribution of this work and as an important aspect that makes the proposed method remarkable is, apart from the quality and precision of the segmentations, the computational efficiency, providing robust results in significantly less time than the method based on deep learning. This efficiency is achieved thanks to the optimal implementation of the morphological filters [ 50 ] as well as the formulation and implementation of the deformable models that are carried out in the frequency domain [ 51 , 52 ], using the dynamic parameters able to ensure and optimize the convergence of the model [ 53 , 54 ]. Finally, Section 4 proceeds with the discussion of the results, and Section 5 closes the paper with the conclusions and proposed future work.…”
Section: Introductionmentioning
confidence: 99%
“…The curve evolutions obtained by gradient descent based functional energy minimization [1] [4] [5] are globally convergent in theory [6]. Furthermore, the numerical convergence of some of those curve evolutions was also shown by simulation [7] and theoretical analysis [8]. Hence, the curve evolutions in this framework are convergent once formulated.…”
Section: Introductionmentioning
confidence: 97%