Results 41 to 50 of about 32,666,734 (297)
Posterior Disconnection Syndrome in Early‐Stage Adult‐Onset Cerebral Adrenoleukodystrophy
ABSTRACT Adult‐onset cerebral adrenoleukodystrophy is potentially treatable but often difficult to recognize before advanced cerebral involvement. Herein, we describe three men with early‐stage disease who initially presented with subtle visual complaints rather than subcortical dementia. Targeted neuropsychological testing revealed higher‐order visual
Kazuto Katsuse +13 more
wiley +1 more source
An affine symmetric image model and its applications [PDF]
Natural images contain considerable redundancy, some of which is successfully captured using recently developed directional wavelets. In this paper, an affine symmetric image model is considered.
Park, Heechan +2 more
core +1 more source
Study of statistical methods for texture analysis and their modern evolutions
Texture analysis is widely performed in the current time as it is considered as an intimate property of the surface. It is widely used in the field of image processing, remote sensing applications, biomedical analysis, document processing, and so on.
Ayushman Ramola +2 more
doaj +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil +7 more
wiley +1 more source
A Fully Unsupervised Texture Segmentation Algorithm
This paper presents a fully unsupervised texture segmentation algorithm by using a modified discrete wavelet frames decomposition and a mean shift algorithm.
Fauzi, Mohammad F. A. +5 more
core +2 more sources
Learning midlevel image features for natural scene and texture classification [PDF]
This paper deals with coding of natural scenes in order to extract semantic information. We present a new scheme to project natural scenes onto a basis in which each dimension encodes statistically independent information.
O'Connor, Noel E. +4 more
core +2 more sources
Evaluation of local orientation for texture classification [PDF]
The aim of this paper is to present a study where we evaluate the optimal inclusion of the texture orientation in the classification process. In this paper the orientation for each pixel in the image is extracted using the partial derivatives of the ...
Ilea, Dana E. +2 more
core +2 more sources
Texture plays an important role in the low-level image analysis and understanding in the field of computer vision. Texture based image enhancement is very important in many applications.
S. Hemalatha, S. Margret Anouncia
doaj +1 more source
Regression Models for Texture Image Analysis [PDF]
The article describes universal model for creating algorithms for calculating textural image features. The proposed models are used for images that are realizations of Markov Random Field. Experimental classification results are shown for different images sets.
openaire +1 more source

