NDLI: A fast algorithm for binary Segmentation using color information

Content Provider	IEEE Xplore Digital Library
Author	Calderon, F. Flores, J. Garnica-Carrillo, A.
Copyright Year	2015
Description	Author affiliation: Div. de Estudios de Postgrad., Univ. Michoacana de San Nicolas de Hidalgo, Morelia, Mexico (Calderon, F.; Flores, J.; Garnica-Carrillo, A.)
Abstract	We present the algorithm Segmentation by Maximization of Discriminant Function to perform the classification of a picture in two regions using color information. Overall classification algorithms require a training set, which underlies or sample for classification of objects. We develop an OpenCV application to provide small samples of an image using the computer mouse to create the training set; the rest of the image pixels will be classified using the given training set. Our goal is to perform classification in the shortest possible time with the least number of samples. So given a digital image, we want to separate one object in the image of the remaining elements. For example, in the case of a person with an undesirable background, separate the background to replace it by another. Our algorithm maximizes a linear function constrained by spatial coherence. Given the number of variables in the process image, segmentation is carried out using incremental images. We have achieved results in hundredths of a second. Results are reported using synthetic images to quantify the performance of the resulting image segmentation, and with two real images, which can be assessed visually.
Starting Page	1
Ending Page	7
File Size	1201010
Page Count	7
File Format	PDF
ISBN	9781467371216
DOI	10.1109/ROPEC.2015.7395155
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-04
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Histograms Image segmentation Computer vision Bayes rule Image color analysis Gaussian distribution Incremental Images Colored noise
Content Type	Text
Resource Type	Article

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 Novel Image Segmentation Algorithm for Color Object Image Retrieval

A new color image segmentation algorithm based on watershed transformation

Segmentation of Color Image Using EM algorithm in HSV Color Space

Fast object detection based on color histograms and local binary patterns

Histogram-based segmentation in a perceptually uniform color space

Segmentation of Color Images Using Multi-FART Network

A Robust Split-and-Merge Text Segmentation Approach for Images

A Fast Interactive Image Segmentation to Locate Multiple Similar-colored Objects

Binary Tree-Based Clustering Algorithm and Used in Color Image Segmentation

A fast algorithm for binary Segmentation using color information

Similar Documents

A Novel Image Segmentation Algorithm for Color Object Image Retrieval

A new color image segmentation algorithm based on watershed transformation

Segmentation of Color Image Using EM algorithm in HSV Color Space

Fast object detection based on color histograms and local binary patterns

Histogram-based segmentation in a perceptually uniform color space

Segmentation of Color Images Using Multi-FART Network

A Robust Split-and-Merge Text Segmentation Approach for Images

A Fast Interactive Image Segmentation to Locate Multiple Similar-colored Objects

Binary Tree-Based Clustering Algorithm and Used in Color Image Segmentation

A fast algorithm for binary Segmentation using color information