[PDF][PDF] 基于第二代Bandelet 域隐马尔可夫树模型的图像分割
侯彪, 徐婧, 刘凤, 焦李成 - 自动化学报, 2009 - aas.net.cn
摘要第二代Bandelet 可以充分利用图像的内在几何正则性特点, 并能自适应获得图像的最优
表示. 本文采用隐马尔可夫树(Hidden Markov tree, HMT) 模型对图像的第二代Bandelet …
表示. 本文采用隐马尔可夫树(Hidden Markov tree, HMT) 模型对图像的第二代Bandelet …
CBS: Contourlet-based steganalysis method
An ideal steganographic technique embeds secret information into a carrier cover object
with virtually imperceptible modification of the cover object. Steganalysis is a technique to …
with virtually imperceptible modification of the cover object. Steganalysis is a technique to …
A steganalysis method based on contourlet transform coefficients
Steganalysis is a technique to detect the presence of hidden embedded information in a
given data. Each steganalyzer is composed of feature extraction and feature classification …
given data. Each steganalyzer is composed of feature extraction and feature classification …
[PDF][PDF] Contourlet features extraction and adaboost classification for palmprint verification
ER Ardabili, K Maghooli… - Journal of American …, 2011 - academia.edu
Biometrics-based personal verification is a powerful security features in technology era.
Palmprint is an important complement and reliable biometric that can be used for identity …
Palmprint is an important complement and reliable biometric that can be used for identity …
[PDF][PDF] Morphological Multiscale Stationary Wavelet Transform based Texture Segmentation
MJ Prakash, K JM, VV Kumar - IJIGSP journal, 2014 - mecs-press.org
Image segmentation is an important step in several computer vision applications. The
segmentation of images into homogeneous and meaningful regions is a fundamental …
segmentation of images into homogeneous and meaningful regions is a fundamental …
A fast block–based approach for segmentation and classification of textural images using contourlet transform and SVM
SR Taghanaki, R Javidan - International Journal of Signal …, 2014 - inderscienceonline.com
In this paper, the problem of texture image segmentation and classification using contourlet
transform and Support Vector Machine (SVM) classifier is discussed and a new block–based …
transform and Support Vector Machine (SVM) classifier is discussed and a new block–based …
A novel algorithm based on contourlet transform for medical image segmentation
Q Li, H Li - 2010 4th International Conference on Bioinformatics …, 2010 - ieeexplore.ieee.org
In this paper, a novel algorithm in the contourlet domain is presented for segmenting lumbar
vertebra in CT image. Firstly we apply the contourlet transform to the image, use its …
vertebra in CT image. Firstly we apply the contourlet transform to the image, use its …
Object detection and tracking in contourlet domain
N Thanh Binh, TA Dien - Context-Aware Systems and Applications: First …, 2013 - Springer
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 …
sequences using contourlet transform. For the contourlet transform to be translation-invariant …
Notice of Retraction: All-Round Emergency Management of Public Incidents
Q Yang, Z Wang - 2009 IITA International Conference on …, 2009 - ieeexplore.ieee.org
Notice of Retraction<BR>All-Round Emergency Management of Public Incidents Page 1
Notice of Retraction After careful and considered review of the content of this paper by a …
Notice of Retraction After careful and considered review of the content of this paper by a …
Adaptive medical image edge detection in contourlet domain
NT Binh, NM Le - … International Conference on Biomedical Engineering in …, 2013 - Springer
Wavelet transforms and other frequency domain methods are widely used for edge
detection, but they suffer from shift and rotation sensitivity. Recently, new x-let multiscale …
detection, but they suffer from shift and rotation sensitivity. Recently, new x-let multiscale …