This paper proposes a novel synthetic aperture radar (SAR) image segmentation algorithm based on the neutrosophic set (NS) and improved artificial bee colony (I-ABC) algorithm. In this algorithm, threshold value estimation is considered as a search procedure that searches for a proper value in a grayscale interval. Therefore, I-ABC optimization algorithm is presented to search for the optimal t...

We address the problem of adaptive regularization in image restoration by adopting a neural-network learning approach. Instead of explicitly specifying the local regularization parameter values, they are regarded as network weights which are then modified through the supply of appropriate training examples. The desired response of the network is in the form of a gray level value estimate of the...

objective: after introduction of digital radiography into dentistry several methods of image acquisition were accessible in the field of dentistry. in many instances it is necessary to digitize analog images. there is no overall acceptable method for image digitization so all different types of images can be comparable. the objective of this study was to compare the diagnostic accuracy of diffe...

Due to the continuous improvement of productivity, transportation demand freight volume is also increasing. It difficult organize efficiently when quite large. Therefore, predicting total amount goods transported essential in order ensure efficient and orderly transportation. Aiming at optimizing forecast volume, this paper predicts Xi’an based on Gray GM (1, 1) model Markov forecasting model. ...

introduction: voxel based morphometry is a type of statistical parametric mapping that can be used to investigate the effect of diseases such as epilepsy, alzheimer's disease and parkinson's disease or other agent such as skills on brain structure (white matter, gray matter and cerebrospinal fluid). the aim of this study is evaluate the effectiveness of this method in detection of dif...

Objectives Due to the small thickness of cortical gray matter in the brain, biological interpretation of image values in the cortical regions on FDG PET images is confounded by tissue atrophy and partial volume effects, especially in patients with Alzheimer Disease (AD). In this study, we developed a method that employs a well established MRI-based cortical brain surface mapping technique to ac...

Comparison of brain imaging data requires the exact matching of data sets from different individuals. Warping methods, used to optimize matching of data sets, can exploit either local gray value distribution or identifiable reference points within the images to be compared. Gray value-based warping, which is more comfortable, cannot be used if gray values include functional information that sho...

Objectives: To investigate normative value and age-related change of brain magnetic resonance T1ρ relaxation at 1.5T. range: 21-62 years), were scanned at 1.5 Tesla using 3D fluid suppressed turbo spin echo sequence. Regions-of-interests (ROIs) were obtained by atlas-based tissue segmentation and T1ρ was calculated by fitting the mean value to mono-exponential model. Correlation between T1ρ rel...

Nuclear texture analysis measures the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image and is a promising quantitative tool for prognosis of cancer. The aim of this study was to evaluate the prognostic value of entropy-based adaptive nuclear texture features in a total population of 354 uterine sarcomas. Isolated nuclei (monolayers) were prepared from 50 µm ...

Companies operating global supply chains in various industries struggle with parallel importers diverting goods from authorized channels to gray markets. While the existing gray market literature mainly focuses on pricing, in this paper we develop a model to examine the role of demand enhancing services as non-price mechanisms for coping with gray markets. We consider a manufacturer that sells ...