NDLI: Step-by-step pipeline processing approach for line segment detection

Content Provider	IET Digital Library
Author	Shao, Chunyan Ding, Qinghai Luo, Haibo Chang, Zheng Zhang, Chi Zheng, Tianjiang
Abstract	This study proposes a line segment detection that can efficiently and effectively handle non-linear uniform intensity changes. The presented sketching algorithm applies the resistant to affine transformation and monotonic intensity change (RATMIC) descriptor to conduct binary translation in the image pre-processing step, which can remove the unwanted smoothing of the Canny detector in most line detections. The Harris corner detector is applied to catch regions of line segments for the purpose of simulating the composition of sketching and achieving a sense of unity within the picture. Furthermore, the RATMIC descriptor is employed to obtain binary images of the regions of interest (ROIs). Finally, small eigenvalue analysis is implemented to detect straight lines in the ROIs. The experiments conducted on various images with image rotation, scaling, and translation validate the effectiveness of the proposed method. The experimental results also demonstrate that about 30% in the overall coverage of major lines and 20% in the coverage per major line are increased compared with the state-of-the-art line detectors. Moreover, the performance of the proposed method produces a combined advantage of ∼17% in the coverage of line segments over the line segment detector with noisy images.
Starting Page	416
Ending Page	424
Page Count	9
ISSN	17519659
Volume Number	11
e-ISSN	17519667
Issue Number	Issue 6, Jun (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/11/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0493
Journal	IET Image Processing
Publisher Date	2017-03-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Affine Transforms Canny Detector Computer Vision And Image Processing Technique Edge Detection Eigen Values And Eigen Function Harris Corner Detector Image Recognition Image Segmentation Integral Transforms Line Segment Detection Linear Algebra Numerical Analysis RATMIC Descriptor Region of Interest Resistant to Affine Transformation And Monotonic Intensity Change Descriptor Step-by-step Pipeline Processing Approach
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering 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

Interest point detection method based on multi-scale Gabor filters

Corner detection using Gabor filters

Applying morphology to improve Canny operator's image segmentation method

Whitening central projection descriptor for affine-invariant shape description

Affine invariant fusion feature extraction based on geometry descriptor and BIT for object recognition

Novel affine-invariant curve descriptor for curve matching and occluded object recognition

Fast and robust ellipse detector based on edge following method

Local image descriptor based on spectral embedding

Edge-Detector Resolution Improvement by Image Interpolation

Step-by-step pipeline processing approach for line segment detection

Similar Documents

Interest point detection method based on multi-scale Gabor filters

Corner detection using Gabor filters

Applying morphology to improve Canny operator's image segmentation method

Whitening central projection descriptor for affine-invariant shape description

Affine invariant fusion feature extraction based on geometry descriptor and BIT for object recognition

Novel affine-invariant curve descriptor for curve matching and occluded object recognition

Fast and robust ellipse detector based on edge following method

Local image descriptor based on spectral embedding

Edge-Detector Resolution Improvement by Image Interpolation

Step-by-step pipeline processing approach for line segment detection