Pyramid algorithms for perceptual organization
نویسندگان
چکیده
منابع مشابه
Pyramid segmentation algorithms revisited
The main goal of this work is to compare pyramidal structures proposed to solve segmentation tasks. Segmentation algorithms based on regular and irregular pyramids are described, together with the data structures and decimation procedures which encode and manage the information in the pyramid. In order to compare the different segmentation algorithms, we have employed three types of quality mea...
متن کاملConnectionist Pyramid Powered Perceptual Organization: Visual Grouping with Hierarchical Structures of Neural Networks
This paper describes a new approach for organizing image data. Perceptual organization in biological vision is the process of pre-attentively grouping and structuring perceptual information into shapes and forms. In computer vision, processes like these are required in order to transform pixels into structural forms that can be used in higher-level interpretation. Pyramidal structures have been...
متن کاملPyramid algorithms for barycentric rational interpolation
We present a new perspective on the Floater–Hormann interpolant. This interpolant is rational of degree (n, d), reproduces polynomials of degree d, and has no real poles. By casting the evaluation of this interpolant as a pyramid algorithm, we first demonstrate a close relation to Neville’s algorithm. We then derive an O(nd) algorithm for computing the barycentric weights of the Floater–Hormann...
متن کاملAlgorithms for Inverse Pyramid Image Decomposition
A new class of algorithms for image decomposition, named Inverse Pyramid Decomposition (IPD), is explored in this work. The algorithms of this class, developed and analyzed in the present work, are based on image approximation in the pyramid levels with a set of models. The algorithm for pyramid decomposition, known as Reduced Difference Pyramid (RDP) [2], which is the closest of the same class...
متن کاملWhat Is Perceptual Organization For?
Perceptual organization has typically been viewed as a description of the image in compact or convenient form. We interpret it as a primitive explanation of the processes that generated the image, based on constraints derived from the discovery of regularities that are unlikely to be accidental. Deeper explanations are constructed by labeling, elaborating, and refining the primitive one. This i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Behavior Research Methods, Instruments, & Computers
سال: 1986
ISSN: 0743-3808,1532-5970
DOI: 10.3758/bf03201434