Journal ArticleDOI
Multiresolution object detection and delineation
Ari David Gross,Azriel Rosenfeld +1 more
TLDR
Methods of detecting and extracting (“delineating,” i.e., segmenting) compact objects from an image are described, designed for implementation on an exponentially tapering “pyramid” of processors, and require only O (log n ) time for an n by n image.Abstract:
This paper describes methods of detecting and extracting (“delineating,” i.e., segmenting) compact objects from an image. The methods are designed for implementation on an exponentially tapering “pyramid” of processors, and require only O (log n ) time for an n by n image. Objects are detected using an “interest measure” derived from local comparisons between fathers and sons in the pyramid. They are extracted by a top-down tree growing process in which the leaves of the tree are the pixels belonging to the detected object.read more
Citations
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Detecting salient blob-like image structures and their scales with a scale-space primal sketch: a method for focus-of-attention
TL;DR: In this article, a multiscale representation of grey-level shape called the scale-space primal sketch is presented, which makes explicit both features in scale space and the relations between structures at different scales, and a methodology for extracting significant blob-like image structures from this representation.
Journal Article
Detecting salient blob-like image structures and their scales with a scale-space primal sketch: a me
TL;DR: A multiscale representation of grey-level shape called the scale-space primal sketch is presented, which gives a qualitative description of image structure, which allows for detection of stable scales and associated regions of interest in a solely bottom-up data-driven way.
Journal ArticleDOI
Fast normalized cross correlation for defect detection
Du-Ming Tsai,Chien-Ta Lin +1 more
TL;DR: This paper proposes a fast NCC computation for defect detection using a sum-table scheme, which allows the calculations of image mean, image variance and cross-correlation between images to be invariant to the size of template window.
Journal ArticleDOI
Hierarchical image analysis using irregular tessellations
TL;DR: A novel multiresolution image analysis technique based on hierarchies of irregular tessellations generated in parallel by independent stochastic processes is presented, which adapted to the image content and artifacts of rigid resolution reduction are avoided.
Journal ArticleDOI
A critical view of pyramid segmentation algorithms
TL;DR: It is demonstrated that the fundamental reason for this shortcoming is the subsampling introduced in the higher levels of the pyramid and the multi-resolution algorithms in general have a fundamental and inherent difficulty in analyzing elongated objects and ensuring connectivity.
References
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Journal ArticleDOI
Segmentation and Estimation of Image Region Properties through Cooperative Hierarchial Computation
TL;DR: A cooperative, iterative approach to segmentation and property estimation is defined; the results of each process at a given iteration are used to adjust the other process at the next iteration.
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Compact Region Extraction Using Weighted Pixel Linking in a Pyramid
Tsai-Hong Hong,Azriel Rosenfeld +1 more
TL;DR: This correspondence describes a method of image segmentation based on a ``pyramid'' of reduced-resolution versions of the image that defines link strengths between pixels at adjacent levels of the pyramid, based on proximity and similarity, and iteratively recomputes the pixel values and adjusts the link strengths.
Journal ArticleDOI
Image Smoothing and Segmentation by Multiresolution Pixel Linking: Further Experiments and Extensions
TL;DR: This paper investigates several variations on the basic linking process with regard to such factors as initialization, criteria for linking, and iteration scheme used and extends the approach to links based on more than one feature of a pixel, e.g., on color components or local property values.
Journal ArticleDOI
Image segmentation in pyramids
TL;DR: This paper studies some of the problems that arise with linked-pyramid segmentation, and proposes a two-stage segmentation process that overcomes these problems.
Journal ArticleDOI
Extracting Compact Objects Using Linked Pyramids
Tsai-Hong Hong,M. Shneier +1 more
TL;DR: This correspondence describes a method of extracting compact regions from images using three multiresolution representations of image features using a gray-level pyramid, an edge pyramid and a ``surroundedness'' pyramid.