robust active contour model
Dual channel active contour model for megakaryocytic cell segmentation in bone marrow trephine histology images
... Bone marrow trephine biopsy slides are commonly dyed using the standard Hematoxylin and Eosin (H&E) stains. Color constancy in these images might be affected by variations on the microscopy light levels, chemical ...
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A new efficient active contour model without local initializations for salient object detection
... metric active contours is that the contours represented by the level set function may break or merge naturally dur- ing the evolution, and the topological changes are thus automatically handled ...geometric ...
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A robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditions
... LRS model. We notice that the segmentation result of LRS model is somewhat sensitive to the locations of the initial seeds/strokes and the choice of three major parameters: approximate volume AV, intensity ...
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Hybrid Medical Image Segmentation based on Fuzzy Global Minimization by Active Contour Model
... [3],[4],[5] model has multicontour which overlaps the points that occur and minimize the energy value by weighted total variation value [1],[10] which is a disadvantage for medical imaging ...snake model ...
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Age estimation via face images: a survey
... AAM: Active appearance model; ASM: Active shape model; AGES: Aging pattern subspace; ACM: Active contour model; ANN: Artificial neural network; ANOVA: Analysis of ...
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MR Brain Image Segmentation Using Region Based Active Contour Model
... this active contour model, the basic idea is to evolve a curve C in a given image, and to stop the evolution when the curve reaches the desired iteration ...based active contour ...
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Brain extraction from cerebral MRI volume using a hybrid level set based active contour neighborhood model
... FP_Rate does not always produce a more accurate result. An accurate and robust algo- rithm must have a good trade-off between FN_Rate and FP_Rate. The FP_Rate and FN_Rate were lower than 10% using “ ACNM One ” and ...
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A New User Dependent Iris Recognition System Based on an Area Preserving Pointwise Level Set Segmentation Approach
... is robust against rotation, while rotation degrades the performance of other methods considerably, due to their circular edge detection ...geodesic active contour model, which calculates the ...
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A Comprehensive Active Contour Model
... snake model, balloon snake model and the GVF snake model by applying them to different images and studied their ...GVF model was successful in forming boundaries by entering concavities, while ...
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Lip segmentation using automatic selected initial contours based on localized active contour model
... initial contour. Before the initial contour is deter- mined, we did a set of preparatory ...initial contour to segment gray images and combined color space ...
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Semantic Segmentation and Object Detection Based On Active Contour Model and Fuzzy Clustering
... Each image pixel is represented by a set of features in FCM clustering technique. The applied feature space can have a significant impact on the clustering quality. In (Siang Tan & Mat Isa, 2011), the histogram ...
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A new model for segmentation of gray scale and color images
... Shah model [], we propose a new model which can be applied to segment both gray- scale and color ...our model apply to color images, we shall use the red-green-blue model ...new ...
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ACTIVE CONTOUR BASED LIVER IMAGE ANALYSIS
... the active contour [12 13]model comprises an internal energy term for regularization and an external energy term or fitness data, in which, the constraints of energy term can be ...
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II.E XTRACT TO FACIAL COMPONENTS
... facial model at ease and ...face model, since it requires additional data which is not directly offered in scanning ...face model with front and flank photo ...face model by 2 face photos of ...
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Retinal Vessel Segmentation using Infinite Perimeter Active Contour with Hybrid Information Model
... For unsupervised segmentation, different segmentation models have been proposed ranging from the primitive thresholding technique, morphological path opening followed by thresholding and fusion, to sophisticated ...
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Identification of thalassemia disorder using active contour
... Thalassemia was known as the red blood cell (RBC) morphology disorder. This disease mostly affects the shape of the red blood cells. Thalassemia becomes the major public health problem when one of the people becomes the ...
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Active Contour Segmentation using Level Sets
... The solution of the image segmentation problem is best described by a closed curve in the 2-D domain representing the boundary of the object. This problem can be solving by curve evolution or active contours: ...
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DRLTP Based Object Recognition for Image Retrieval Systems
... We have proposed a novel edge-texture feature for recognition that provides discrimination which is Discriminative Robust Local Ternary Pattern [1] which helps in discrimination of the local structures that ...
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Enhanced Segmentation Method for Bone Structure and Diaphysis Extraction from X ray Images
... is robust to both image noise and boundary gaps as it constrains the extracted boundaries to be ...implicit active contours or level sets, are designed to handle topological changes ...implicit ...
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Enhanced ROI (Region of Interest Algorithms) for Medical Image Compression
... enhanced active contour ROI algorithm is efficient in separating the IR and NIR regions of an image (Figure ...the active contour-based algorithm enhanced with region growing initial seed ...
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