Blind image quality assessment based on high order statistics aggregation
Blind image quality assessment (BIQA) research aims to develop a perceptual model to
evaluate the quality of distorted images automatically and accurately without access to the …
evaluate the quality of distorted images automatically and accurately without access to the …
A note on the phase locking value and its properties
We investigate the properties of the Phase Locking Value (PLV) and the Phase Lag Index
(PLI) as metrics for quantifying interactions in bivariate local field potential (LFP) …
(PLI) as metrics for quantifying interactions in bivariate local field potential (LFP) …
Local maximum edge binary patterns: a new descriptor for image retrieval and object tracking
M Subrahmanyam, RP Maheshwari… - Signal Processing, 2012 - Elsevier
A new algorithm meant for content based image retrieval (CBIR) and object tracking
applications is presented in this paper. The local region of image is represented by local …
applications is presented in this paper. The local region of image is represented by local …
Tomato plant diseases classification using statistical texture feature and color feature
CS Hlaing, SMM Zaw - 2018 IEEE/ACIS 17th International …, 2018 - ieeexplore.ieee.org
Plant disease classification has been associated with the production of essential food crops
and human society. In this paper, we classify tomato plant disease using two different …
and human society. In this paper, we classify tomato plant disease using two different …
C-DIIVINE: No-reference image quality assessment based on local magnitude and phase statistics of natural scenes
It is widely known that the wavelet coefficients of natural scenes possess certain statistical
regularities which can be affected by the presence of distortions. The DIIVINE (Distortion …
regularities which can be affected by the presence of distortions. The DIIVINE (Distortion …
Model-based statistical features for mobile phone image of tomato plant disease classification
CS Hlaing, SMM Zaw - 2017 18th international conference on …, 2017 - ieeexplore.ieee.org
We introduce a set of statistical features and propose the SIFT texture features descriptor
model on statistical image processing. The proposed feature is applied to plant disease …
model on statistical image processing. The proposed feature is applied to plant disease …
Undecimated dual-tree complex wavelet transforms
Two undecimated forms of the Dual Tree Complex Wavelet Transform (DT-CWT) are
introduced together with their application to image denoising and robust feature extraction …
introduced together with their application to image denoising and robust feature extraction …
Plant diseases recognition for smart farming using model-based statistical features
CS Hlaing, SMM Zaw - 2017 IEEE 6th global conference on …, 2017 - ieeexplore.ieee.org
The current focus of our research is to detect and classify the plant disease in agricultural
domain, by implementing image processing techniques. We aim to propose an innovative …
domain, by implementing image processing techniques. We aim to propose an innovative …
Texture image retrieval based on fusion of local and global features
H Wang, H Qu, J Xu, J Wang, Y Wei… - Multimedia Tools and …, 2022 - Springer
Neither a single local feature nor a single global feature can completely characterize image
information, and fusion of two or more complementary features can effectively improve …
information, and fusion of two or more complementary features can effectively improve …
Dual-tree complex wavelet coefficient magnitude modelling using the bivariate Cauchy–Rayleigh distribution for image denoising
Wavelet shrinkage is a standard technique for denoising natural images. Originally
proposed for univariate shrinkage within the Discrete Wavelet Transform (DWT) domain it …
proposed for univariate shrinkage within the Discrete Wavelet Transform (DWT) domain it …