Efficient image segmentation using partial differential equations and morphology
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TLDR
This paper considers two well-founded PDE methods: a nonlinear isotropic diffusion filter that permits edge enhancement, and a convex nonquadratic variational image restoration method which gives good denoising.About:
This article is published in Pattern Recognition.The article was published on 2001-09-01 and is currently open access. It has received 124 citations till now. The article focuses on the topics: Image segmentation & Scale-space segmentation.read more
Citations
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Book ChapterDOI
KAZE features
TL;DR: KAZE features, a novel multiscale 2D feature detection and description algorithm in nonlinear scale spaces, can make blurring locally adaptive to the image data, reducing noise but retaining object boundaries, obtaining superior localization accuracy and distinctiviness.
BookDOI
Front-End Vision and Multi-Scale Image Analysis
Ter Haar Romeny,M Bart +1 more
TL;DR: Front-End Vision and Multi-Scale Image Analysis is a tutorial in multi-scale methods for computer vision and image processing that builds on the cross fertilization between human visual perception and multi- scale computer vision theory and applications.
Journal ArticleDOI
Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
TL;DR: An extensive state-of-the-art survey on OBIA techniques is conducted, discussed different segmentation techniques and their applicability to OBIB, and selected optimal parameters and algorithms that can general image objects matching with the meaningful geographic objects.
Journal ArticleDOI
Strategies for image segmentation combining region and boundary information
TL;DR: This paper reviews various segmentation proposals that integrate edge and region information and highlights different strategies and methods for fusing such information.
Applications of nonlinear diffusion in image processing and computer vision
TL;DR: A novel AOS scheme is presented that uses harmonie averaging and does not require reinitializations of the distance function in each iteration step, and it is shown that this scheme can be applied to geodesic active contours.
References
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Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI
Scale-space and edge detection using anisotropic diffusion
Pietro Perona,Jitendra Malik +1 more
TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
Journal ArticleDOI
The Laplacian Pyramid as a Compact Image Code
Peter J. Burt,Edward H. Adelson +1 more
TL;DR: A technique for image encoding in which local operators of many scales but identical shape serve as the basis functions, which tends to enhance salient image features and is well suited for many image analysis tasks as well as for image compression.
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Theory of Edge Detection
David Marr,Ellen C. Hildreth +1 more
TL;DR: The theory of edge detection explains several basic psychophysical findings, and the operation of forming oriented zero-crossing segments from the output of centre-surround ∇2G filters acting on the image forms the basis for a physiological model of simple cells.
Journal ArticleDOI
Watersheds in digital spaces: an efficient algorithm based on immersion simulations
Luc Vincent,Pierre Soille +1 more
TL;DR: A fast and flexible algorithm for computing watersheds in digital gray-scale images is introduced, based on an immersion process analogy, which is reported to be faster than any other watershed algorithm.