NDLI: Histogram Analysis Using a Scale-Space Approach

Content Provider	IEEE Xplore Digital Library
Author	Carlotto, Mark J.
Copyright Year	1979
Abstract	A new application of scale-space filtering to the classical problem of estimating the parameters of a normal mixture distribution is described. The technique involves generating a multiscale description of a histogram by convolving it with a series of Gaussians of gradually increasing width (standard deviation), and marking the location and direction of the sign change of zero-crossings in the second derivative. The resulting description, or fingerprint, is interpreted by relating pairs of zero-crossings to modes in the histogram where each mode or component is modeled by a normal distribution. Zero-crossings provide information from which estimates of the mixture parameters are computed. These initial estimates are subsequently refined using an iterative maximum likelihood estimation technique. Varying the scale or resolution of the analysis allows the number of components used in approximating the histogram to be controlled.
Sponsorship	IEEE Computer Society
Starting Page	121
Ending Page	129
Page Count	9
File Size	2677347
File Format	PDF
ISSN	01628828
Volume Number	PAMI-9
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1987-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Nonlinear filters Gaussian processes Fingerprint recognition Filtering Gaussian distribution Parameter estimation Maximum likelihood estimation Image analysis Image segmentation scale-space filtering Estimating the parameters of a normal mixture fingerprints histogram analysis image segmentation mode finding
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software

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

A Leukocyte Nucleus Segmentation Scheme Based on Fingerprint Smoothing

Fast Maximum Likelihood Scale Parameter Estimation From Histogram Measurements

On parameter estimation of the envelope Gaussian mixture model

Maximum Likelihood Estimation of Gaussian Mixture Models Using PSO for Image Segmentation

Unsupervised color image segmentation based on Gaussian mixture model

Segmentation of Color Image Using EM algorithm in HSV Color Space

On estimating the quality of noisy images

Fingerprint Segmentation: Optimization of a Filtering Technique with Gabor Filter

SAR image filtering with the ICM algorithm

Histogram Analysis Using a Scale-Space Approach

Similar Documents

A Leukocyte Nucleus Segmentation Scheme Based on Fingerprint Smoothing

Fast Maximum Likelihood Scale Parameter Estimation From Histogram Measurements

On parameter estimation of the envelope Gaussian mixture model

Maximum Likelihood Estimation of Gaussian Mixture Models Using PSO for Image Segmentation

Unsupervised color image segmentation based on Gaussian mixture model

Segmentation of Color Image Using EM algorithm in HSV Color Space

On estimating the quality of noisy images

Fingerprint Segmentation: Optimization of a Filtering Technique with Gabor Filter

SAR image filtering with the ICM algorithm

Histogram Analysis Using a Scale-Space Approach