Active Contours without Edges for Vector-Valued Images

By Tony F. Chan, B. Sandberg, Luminita A. Vese. Journal of Visual Communication and Image Representation, 2000

883 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/dffaa9e4bfd2bca125883372820c1dcfd87bc081

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In Computer Vision and Pattern Recognition

In Media Technology

Citations in the corpus

Edge and line oriented contour detection: State of the art (2011, background): “These ideas have been extended to multilevel [214] and color [215] images as well.”
Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging (2023, methodology): “The authors utilized an unsupervised active contour detection technique, specifically the Chan and Vese algorithm [91], for precise tumor border delineation.”
A level set algorithm for minimizing the Mumford-Shah functional in image processing (2001, methodology): “The proposed model follows and fully generalizes our previous related works: in [12], we have proposed an active contour model without edges based on a 2-phase segmentation and level sets; in [10], we have extended the model from [12] to vector-valued images; and finally, in [11], we have extended t”
Histology image analysis for carcinoma detection and grading (2012, methodology): “Region information (e.g. intensity, color and texture descriptors) is usually used in level set methods [26,27,147,149] for more accurate results than edge-based models [25,97]; in these approaches, the image is usually segmented into multiple regions of interest with certain homogeneity…”
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (2002, methodology): “(1996), Chen et al. (1997), Fedkiw et al. (1999), Fedkiw (1999), Jensen (1993), and Caselles et al.”
Optic Disk and Cup Segmentation From Monocular Color Retinal Images for Glaucoma Assessment (2011, neutral): “This energy is converted to an equivalent level-set formulation [46] for curve evolution.”
Multiple level set methods with applications for identifying piecewise constant functions (2004, methodology): “Following [35], it was proposed in Chan and Vese [11, 12, 10 , 9] that we can use piecewise consant functions (or higher order polynomials) to approximate the image functions.”
Variational PDE models in image processing (2002, background): “, [3], [5], [17], [19] and many more on our group homepage [11]) and also in related works by Yezzi, Tsai, and Willsky; Paragios and Deriche; Zhu and Yuille; and Cohen, Bardinet, and Ayache [6], [7].”