NDLI: Rotation-invariant and robust multiple-2D-object detection using steerable pyramid denoising and optimized circular harmonic filters

Content Provider	IEEE Xplore Digital Library
Author	Stoschek, A. Yu, T.P.Y. Hegerl, R.
Copyright Year	1996
Description	Author affiliation: Max-Planck-Inst. fur Biochem., Munchen, Germany (Stoschek, A.)
Abstract	We address the problem of automated detection of biological macromolecules imaged with an electron microscope. These types of images are characterized by a low signal-to-noise ratio (0 dB), a low and varying contrast, in-plane rotated and densely distributed objects in the scene, strong object deformations, and the possible occurrence of false class objects and object agglomerations. We propose a two-step algorithm for rotation invariant and robust multiple 2D-object detection. First, we denoise the image by shrinking the coefficients of a steerable pyramid transform. Second, we employ a correlation-based object detection consisting of a constrained circular harmonic filter. Experiments on our imagery show that this denoising procedure prior to the detection significantly reduces the number of erroneous findings, thus increasing the reliability of object detectors. We elucidate a method to quantify the loss of information due to denoising artifacts on data with an unknown signal-noise relationship. Our experiments prove steerable pyramid denoising to perform well in reconstructing signal out of noisy data.
Starting Page	376
Ending Page	380
File Size	608361
Page Count	5
File Format	PDF
ISBN	081867282X
ISSN	10514651
DOI	10.1109/ICPR.1996.546852
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-08-25
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Object detection Noise reduction Molecular biophysics Electron microscopy Signal to noise ratio Layout Harmonic filters Detectors Image reconstruction
Content Type	Text
Resource Type	Article
Subject	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

Frames-Based Denoising in 3D Confocal Microscopy Imaging

Ordinal pyramid pooling for rotation invariant object recognition

Robust horizontal target detection with cooperative spatial filtering

Rotation-Invariant Neoperceptron

Object Recognition by Modified Scale Invariant Feature Transform

Equivariant Holomorphic Filters for Contour Denoising and Rapid Object Detection

Rotation invariant texture recognition using a steerable pyramid (1994)

A Quick Feature Detecting Method Applied in Robot Vision

Steerable Filtering Using Novel Circular Harmonic Functions with Application to Edge Detection

Rotation-invariant and robust multiple-2D-object detection using steerable pyramid denoising and optimized circular harmonic filters

Similar Documents

Frames-Based Denoising in 3D Confocal Microscopy Imaging

Ordinal pyramid pooling for rotation invariant object recognition

Robust horizontal target detection with cooperative spatial filtering

Rotation-Invariant Neoperceptron

Object Recognition by Modified Scale Invariant Feature Transform

Equivariant Holomorphic Filters for Contour Denoising and Rapid Object Detection

Rotation invariant texture recognition using a steerable pyramid (1994)

A Quick Feature Detecting Method Applied in Robot Vision

Steerable Filtering Using Novel Circular Harmonic Functions with Application to Edge Detection

Rotation-invariant and robust multiple-2D-object detection using steerable pyramid denoising and optimized circular harmonic filters