Binary, gray-scale, and vector soft mathematical morphology: Extensions, algorithms, and implementations

Vardavoulia, Maria I.; Γαστεράτος, Αντώνιος; Andreadis, Ioannis

doi:10.1016/s1076-5670(01)80085-9

Cited by 4 publications

(1 citation statement)

References 22 publications

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“…Each intersection node of the connected flood levels is used to create a graph. The higher values of the flood levels receive the maximum values of the dilation operator as referred to the work of Droogenbroeck [ 28 ], Droogenbroeck and Talbot [ 29 ], and Vardavoulia et al [ 30 ] and the lower values of the flood levels receive the minimum values of the erosion operator. The nodes connect the intersection points which are linked so as to represent the contours corresponding to their features.…”

Section: Contour Extractionmentioning

confidence: 99%

Semi‐automatic Integrated Segmentation Approaches and Contour Extraction Appliedto Computed Tomography Scan Images′

Khoodoruth

Rughooputh

Lefer

2008

International Journal of Biomedical Imaging

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We propose to segment two-dimensional CT scans traumatic brain injuries with various methods. These methods are hybrid, feature extraction, level sets, region growing, and watershed which are analysed based upon their parametric and nonparametric arguments. The pixel intensities, gradient magnitude, affinity map, and catchment basins of these methods are validated based upon various constraints evaluations. In this article, we also develop a new methodology for a computational pipeline that uses bilateral filtering, diffusion properties, watershed, and filtering with mathematical morphology operators for the contour extraction of the lesion in the feature available based mainly on the gradient function. The evaluations of the classification of these lesions are very briefly outlined in this context and are being undertaken by pattern recognition in another paper work.

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Section: Contour Extractionmentioning

confidence: 99%