Efficient ant colony optimization for image feature selection
Feature selection (FS) is an important task which can significantly affect the performance of
image classification and recognition. In this paper, we present a feature selection algorithm …
image classification and recognition. In this paper, we present a feature selection algorithm …
Speckle characterization methods in ultrasound images–A review
Speckle has been widely considered a noisy feature in ultrasound images, thus it is
intended to be suppressed and eliminated. On the other hand, speckle can be studied as a …
intended to be suppressed and eliminated. On the other hand, speckle can be studied as a …
Noise tolerant local binary pattern operator for efficient texture analysis
The local binary pattern (LBP) operator is a very effective multi-resolution texture descriptor
that can be applied in many image processing applications. However, existing LBP …
that can be applied in many image processing applications. However, existing LBP …
Texture analysis and classification with linear regression model based on wavelet transform
The wavelet transform as an important multiresolution analysis tool has already been
commonly applied to texture analysis and classification. Nevertheless, it ignores the …
commonly applied to texture analysis and classification. Nevertheless, it ignores the …
Comparison of multiresolution features for texture classification of carotid atherosclerosis from B-mode ultrasound
In this paper, a multiresolution approach is suggested for texture classification of
atherosclerotic tissue from B-mode ultrasound. Four decomposition schemes, namely, the …
atherosclerotic tissue from B-mode ultrasound. Four decomposition schemes, namely, the …
A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours
Tissue texture is known to exhibit a heterogeneous or non-stationary nature; therefore using
a single resolution approach for optimum classification might not suffice. A clinical decision …
a single resolution approach for optimum classification might not suffice. A clinical decision …
Wavelet packet neural networks for texture classification
Texture can be defined as a local statistical pattern of texture primitives in observer's domain
of interest. Texture classification aims to assign texture labels to unknown textures …
of interest. Texture classification aims to assign texture labels to unknown textures …
A evaluation of surface roughness classes by computer vision using wavelet transform in the frequency domain
This paper presents a multiresolution method based on the processing of surface images for
unmanned visual quality inspection and surface roughness discrimination in turning. Sixteen …
unmanned visual quality inspection and surface roughness discrimination in turning. Sixteen …
Automated visual inspection of ripple defects using wavelet characteristic based multivariate statistical approach
This paper presents a wavelet characteristic based approach for the automated visual
inspection of ripple defects in the surface barrier layer (SBL) chips of ceramic capacitors …
inspection of ripple defects in the surface barrier layer (SBL) chips of ceramic capacitors …
The application of mutual information-based feature selection and fuzzy LS-SVM-based classifier in motion classification
This paper presents an effective mutual information-based feature selection approach for
EMG-based motion classification task. The wavelet packet transform (WPT) is exploited to …
EMG-based motion classification task. The wavelet packet transform (WPT) is exploited to …