Results 141 to 150 of about 901 (179)
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Pan-sharpening via the contourlet transform

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
The wavelet transform has been a popular choice for the spatial transformation in the pan-sharpening process. However, the wavelet transform do not represent the directional information efficiently. On the other hand, the contourlet transform, which also has a property of multiresolution decomposition similar to the wavelet, is known to provide ...
Vijay P. Shah   +2 more
openaire   +1 more source

Contourlet Based Interest Points Detector

2008 20th IEEE International Conference on Tools with Artificial Intelligence, 2008
This paper proposes a robust algorithm for detecting interest points based on the nonsubsampled contourlet transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermore, NSCT is very efficient in extracting the geometric information of images and therefore it has very good feature localization.
Samer R. Saydam   +2 more
openaire   +2 more sources

Contourlet-Based Mammography Mass Classification

2007
The research presented in this paper is aimed at the development of an automatic mass classification of mammograms. This paper focuses on using contourlet-based multi-resolution texture analysis. The contourlet transform is a new two-dimensional extension of the wavelet transform using multi-scale framework as well as directional filter banks.
Fatemeh Moayedi   +3 more
openaire   +1 more source

Image inpainting with nonsubsampled contourlet transform

Pattern Recognition Letters, 2013
A new algorithm for image inpainting based on the searching of redundancy for corner points across different scales and orientations is proposed. The searching utilises the nonsubsampled contourlet transform (NSCT) of the original image. The target region is filled-in following the priority which is given to the corner points that accumulate a high ...
Rosa Rodríguez-Sánchez   +2 more
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Iris identification using contourlet transform

SPIE Proceedings, 2007
With the increased emphasis on security and personal authentication, an accurate biometric-based authentication system has become a critical requirement in a variety of applications. Among different biometrics, authentication based on iris features has received a lot of attention since its introduction in 1992. The wavelet transform has been proposed
Rami Zewail   +2 more
openaire   +2 more sources

Combined Contourlet and Non-subsampled Contourlet Transforms Based Approach for Personal Identification Using Palmprint

2009 Digital Image Computing: Techniques and Applications, 2009
Palmprint based personal verification is an accepted biometric modality due to its reliability, ease of acquisition and user acceptance. This paper presents a novel palmprint based identification approach which draw on the textural information available on the palmprint by utilizing a combination of Contourlet and Non Subsampled Contourlet Transforms ...
Hassan Masood   +3 more
openaire   +1 more source

Blind image quality assessment in the contourlet domain

Signal Processing: Image Communication, 2021
Abstract No-reference/blind image quality assessment (NR-IQA/BIQA) algorithms play an important role in image evaluation, as they can assess the quality of an image automatically, only using the distorted image whose quality is being assessed. Among the existing NR-IQA/BIQA methods, natural scene statistic (NSS) models which can be expressed in ...
Chaofeng Li   +5 more
openaire   +2 more sources

Invariant pattern recognition using contourlets and AdaBoost

Pattern Recognition, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, G.Y., Kégl, Balázs
openaire   +3 more sources

The contourlet transform for image fusion

SPIE Proceedings, 2006
In this paper, we introduce a new image fusion method based on the contourlet transform. Firstly, the problem that wavelet transform could not efficiently represent the singularity of linear/curve in image processing is analyzed. Secondly, the principal of Contourlet and its good performance in expressing the singularity of two or higher dimensional ...
Qiguang Miao, Baoshu Wang
openaire   +1 more source

Object Detection and Tracking in Contourlet Domain

2013
This paper describes a method for the moving object detection and tracking in video sequences using contourlet transform. For the contourlet transform to be translation-invariant a 2D cycle spinning is implemented on subbands ∆ 1 and ∆ 2. Cycle spinning for edge detection is implemented.
Thanh Binh Nguyen 0004, Tran Anh Dien
openaire   +2 more sources

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