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An Idempotent Scale-Space Approach for Morphological Segmentation
2005This work constitutes a first approach on image segmentation based on the recently proposed morphological scale-space theory. We introduce an idempotent smoot hing operation, in the corresponding scale-space, and analyze some of its main features concerning the monotonicity of the image extrema and the way these extrema merge in a multiscale ...
Marta D. Teixeira, Neucimar J. Leite
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Localization Scale Selection for Scale-Space Segmentation
2005In this work the relation between scale-space image segmentation and selection of the localization scale is examined first, and a scale selection approach is consequently proposed in the segmentation context. Considering the segmentation part, gradient watersheds are applied to the non-linear scale-space domain followed by a grouping operation.
Sokratis Makrogiannis +1 more
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Bifurcation of Segment Edge Curves in Scale Space
2012In this paper, we aim to develop a criterion to select scale parameters, which control pre-smoothing for edge detection. We first formalise the Canny edge detector which extracts the zeros of bilinear form of the first- and the second-order derivatives of image intensity.
Atsushi Imiya +3 more
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Size-adapted microcalcification segmentation in mammography utilizing scale-space signatures
Computerized Medical Imaging and Graphics, 2010The purpose of this study is size-adapted segmentation of individual microcalcifications in mammography, based on microcalcification scale-space signature estimation, enabling robust scale selection for initialization of multiscale active contours. Segmentation accuracy was evaluated by the area overlap measure, by comparing the proposed method and two
Spyros Skiadopoulos +6 more
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Scale-space approximated convolutional neural networks for retinal vessel segmentation
Computer Methods and Programs in Biomedicine, 2019Retinal fundus images are widely used to diagnose retinal diseases and can potentially be used for early diagnosis and prevention of chronic vascular diseases and diabetes. While various automatic retinal vessel segmentation methods using deep learning have been proposed, they are mostly based on common CNN structures developed for other tasks such as ...
Soochahn Lee +2 more
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Retinal vessel segmentation using Morphological Angular Scale-Space
2012 Third International Conference on Emerging Applications of Information Technology, 2012In this paper, segmentation of retinal vessel is done using an innovative procedure named as Morphological Angular Scale-Space (MASS). A linear structuring element rotated at different angles determines the connected components and ensuring that connectivity is not lost across the vessels.
Rohit Kamal Chatterjee, Anirban Kundu
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1995
A segmentation scheme based on tracing objects and borders through scale space is proposed. Scale space allows to create a hierarchical representation of input data which can be used to tessellate input space into objects with closed and orientable borders. For analyzing the structure of scale space, a neural network approach using synchronizing neural
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A segmentation scheme based on tracing objects and borders through scale space is proposed. Scale space allows to create a hierarchical representation of input data which can be used to tessellate input space into objects with closed and orientable borders. For analyzing the structure of scale space, a neural network approach using synchronizing neural
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Segmenting by Compression Using Linear Scale-Space and Watersheds
1999Automatic segmentation is performed using watersheds of the gradient magnitude and compression techniques. Linear Scale-Space is used to discover the neighbourhood structure and catchment basins are locally merged with Minimum Description Length. The algorithm can form a basis for a large range of automatic segmentation algorithms based on watersheds ...
Sporring, Jon, Olsen, Ole Fogh
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Hierarchical image segmentation using a watershed scale-space tree
7th International Conference on Image Processing and its Applications, 1999The watershed transformation is a useful morphological segmentation tool which has been used in a variety of grey-scale image processing applications. However, a major problem with the watershed transformation is that it produces a severe over-segmentation due to the great number of minima embedded in the image or its gradient, and therefore it is ...
Mark Fisher, R.V. Aldridge
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Morphological Scale-Space based Vessel Segmentation of Retinal Image
2012 Annual IEEE India Conference (INDICON), 2012This paper introduces a novel procedure to segment retinal vessels using new technique namely Morphological Angular Scale-Space (MASS). Line structuring element is rotated about the seed point to determine the curvature of the vessels thereby ensuring that the components remains connected along vessels segmented.
Rohit Kamal Chatterjee, Anirban Kundu
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