NDLI: Fuzzy histograms, weak fuzzification and accumulation of periodic quantities : Application in two accumulation-based image processing methods

Please wait, while we are loading the content...

A novel feature-based tracking approach to the detection, localization, and 3-D reconstruction of internal defects in hardwood logs using computer tomography

A novel look-ahead optimization strategy for trie-based approximate string matching

Fuzzy histograms, weak fuzzification and accumulation of periodic quantities : Application in two accumulation-based image processing methods

Automatic name extraction from degraded document images

A DCT-based ownership identification method with gray-level and colorful signatures

Efficient median based clustering and classification techniques for protein sequences

Decomposition methodology for classification tasks: a meta decomposer framework

A review on Gabor wavelets for face recognition

Pattern Analysis & Applications : Volume 9, Issue 1, May 2006

Pattern Analysis & Applications : Volume 8

Pattern Analysis & Applications : Volume 7

Pattern Analysis & Applications : Volume 6

Pattern Analysis & Applications : Volume 5

Pattern Analysis & Applications : Volume 4

Pattern Analysis & Applications : Volume 3

Pattern Analysis & Applications : Volume 2

Pattern Analysis & Applications : Volume 1

Fuzzy histograms, weak fuzzification and accumulation of periodic quantities : Application in two accumulation-based image processing methods

Content Provider	Springer Nature Link
Author	Chmielewski, Leszek J.
Copyright Year	2006
Abstract	The influence of the scale of a fuzzy membership function used to fuzzify a histogram is analysed. It is shown that for a class of fuzzifying functions it is possible to indicate the limit for fuzzification, at which the mode of the histogram equals the mean of the data accumulated in it. The fuzzification functions for which this appears are: the quadratic function for aperiodic histograms and the cosine square function for periodic ones. The scaled and clipped versions of these functions can be used to control the degree of fuzzification belonging to the interval [0,1]. While the quadratic function is related to the widely known Huber-type clipped mean or the kernel function derived from the Epanechnikov kernel, the clipped cosine square seems to be less known. The indications for using strong or weak fuzzification, according to the value of the fuzzification degree, are justified by examples in two applications: classic Hough transform-based image registration and novel accumulation-based line detection. Typically, the weak fuzzification is recommended. The images used are related to simulation images from teleradiotherapy and to mammographic images.
Starting Page	189
Ending Page	210
Page Count	22
File Format	PDF
ISSN	14337541
Journal	Pattern Analysis & Applications
Volume Number	9
Issue Number	2-3
e-ISSN	1433755X
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-08-04
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Fuzzy histogram Accumulation Scale Mode to mean transition Limit fuzzification Periodic histogram Line detection Mammograms Image registration Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Bin Ratio-Based Histogram Distances and Their Application to Image Classification

Locally Orderless Registration

Histogram Analysis Using a Scale-Space Approach

Multiresolution histograms and their use for recognition

Deformable Model Fitting by Regularized Landmark Mean-Shift

A robust thresholding algorithm for unimodal image histograms

Rain or Snow Detection in Image Sequences Through Use of a Histogram of Orientation of Streaks

A Statistics-Based Approach to Binary Image Registration with Uncertainty Analysis

A Center-Surround Histogram for content-based image retrieval

Fuzzy histograms, weak fuzzification and accumulation of periodic quantities : Application in two accumulation-based image processing methods

Similar Documents

Bin Ratio-Based Histogram Distances and Their Application to Image Classification

Locally Orderless Registration

Histogram Analysis Using a Scale-Space Approach

Multiresolution histograms and their use for recognition

Deformable Model Fitting by Regularized Landmark Mean-Shift

A robust thresholding algorithm for unimodal image histograms

Rain or Snow Detection in Image Sequences Through Use of a Histogram of Orientation of Streaks

A Statistics-Based Approach to Binary Image Registration with Uncertainty Analysis

A Center-Surround Histogram for content-based image retrieval

Fuzzy histograms, weak fuzzification and accumulation of periodic quantities : Application in two accumulation-based image processing methods