New concept for art and antiquities identification based on craquelure pattern analysis

2020 ◽  
Vol 62 (3) ◽  
pp. 134-138
Author(s):  
R GR Maev ◽  
A Baradarani ◽  
J R B Taylor
Keyword(s):  
Pattern Analysis ◽  
Morphological Processing ◽  
Health Conditions ◽  
Photographic Images ◽  
Multi Scale ◽  
Perspective Distortion ◽  
Art Objects ◽  
Image Dataset ◽  
Different Types ◽  
Matching Procedure

In this paper, it is shown that the craquelure patterns of paintings and other antiquities can be considered as fingerprints so that the authenticity of any given artwork can then be verified against prior works. The authors propose to extract craquelure features from photographic images and use them in the implementation of a unique matching procedure to address the art forgery issue as well as to monitor the health conditions of the objects concerned. This feature extraction strategy is robust against illumination, scale, rotation and perspective distortion. The craquelure extraction system developed, called multi-scale multi-orientation morphological processing (MMMP), performs analyses in each sub-band. A comprehensive craquelure image dataset has been constructed from a variety of different types of painting and other art objects. The results show significant improvement and compare favourably with the current best results in the market.

scholarly journals Review of the relationship between depression and life satisfaction among university students

2018 ◽  
Vol 8 (3) ◽  
pp. 117-128
Author(s):  
Asra Babayigit ◽  
Zihniye Okray
Keyword(s):  
Risk Factors ◽  
Life Satisfaction ◽  
Life Quality ◽  
The Other ◽  
Health Conditions ◽  
Different Types ◽  
Review Study ◽  
Negative Impacts ◽  
The Relationship ◽  
Day By Day

Depression is one of the most commonly observed medical conditions. Studies about the depression and life satisfaction is increasing day by day. Untreated depression may lead to unexpected earlier deaths and has negative impacts on the patient’s general health conditions. On the other hand with the proper treatment, life quality could be enhanced. Moreover life satisfaction level is also seen as an important factor which is related with life quality and which is usually coordinated together with the depression. There are different types and explanations of depression. In this study, we tried to explain the prevalence, diagnosis criterias, risk factors, etiology and description of depression. In addition to this, relationship between depression and life satisfaction is tried to be explained. Purpose of this review study is to explain depression, it’s risk factors and the importance of life satisfaction.

Investigating Melodic Segmentation through the Temporal Multi-Scaling Framework

2003 ◽  
Vol 7 (1_suppl) ◽  
pp. 125-155
Author(s):  
Maja Serman ◽  
Niall J. L. Griffith
Keyword(s):  
Music Perception ◽  
Signal Propagation ◽  
Scale Space ◽  
Scale Model ◽  
Model Structure ◽  
Multi Scale ◽  
Sensory Signal ◽  
Functional Aspects ◽  
Different Types ◽  
The Subject

In this paper we approach the subject of modelling and understanding segmentation processes in melodic perception using a temporal multi-scale representation framework. We start with the hypothesis that segmentation depends on the ability of the perceptual system to detect changes in the sensory signal. In particular, we are interested in a model of change detection in music perception that would help us to investigate functional aspects of low-level perceptual processes in music and their universality in terms of the general properties of the auditory system. To investigate this hypothesis, we have developed a temporal multi-scale model that mimics the ability of the listener to detect changes in pitch, loudness and timbre when listening to performed melodies. The model is set within the linear scale-space theoretical framework, as developed for image structure analysis but in this case applied to the temporal processing domain. It is structured in such a way as to enable us to verify the assumption that segmentation is influenced by both the dynamics of signal propagation through a neural map and learning and attention factors. Consequently, the model is examined from two perspectives: 1) the computational architecture which models signal propagation is examined for achieving the effects of the universal, inborn aspects of segmentation 2) the model structure capable of influencing choices of segmentation outcomes is explained and some of its effects are examined in view of the known segmentation results. The results of the presented case studies demonstrate that the model accounts for some effects of perceptual organization of the sensory signal and provides a sound basis for analysing different types of changes and coordination across the melodic descriptors in segmentation decisions.

ON GEOMETRIC AND ORTHOGONAL MOMENTS

2000 ◽  
Vol 14 (07) ◽  
pp. 875-894 ◽  
Author(s):  
JUN SHEN ◽  
WEI SHEN ◽  
DANFEI SHEN
Keyword(s):  
Pattern Analysis ◽  
Equivalence Theorem ◽  
Image Features ◽  
Shape Classification ◽  
Orthogonal Moments ◽  
Zero Crossings ◽  
Different Types ◽  
Base Functions ◽  
Different Shapes ◽  
Function Discontinuity

Moments are widely used in pattern recognition, image processing, computer vision and multiresolution analysis. To clarify and to guide the use of different types of moments, we present in this paper a study on the different moments and compare their behavior. After an introduction to geometric, Legendre, Hermite and Gaussian–Hermite moments and their calculation, we analyze at first their behavior in spatial domain. Our analysis shows orthogonal moment base functions of different orders having different number of zero-crossings and very different shapes, therefore they can better separate image features based on different modes, which is very interesting for pattern analysis and shape classification. Moreover, Gaussian–Hermite moment base functions are much more smoothed, they are thus less sensitive to noise and avoid the artifacts introduced by window function discontinuity. We then analyze the spectral behavior of moments in frequency domain. Theoretical and numerical analyses show that orthogonal Legendre and Gaussian–Hermite moments of different orders separate different frequency bands more effectively. It is also shown that Gaussian–Hermite moments present an approach to construct orthogonal features from the results of wavelet analysis. The orthogonality equivalence theorem is also presented. Our analysis is confirmed by numerical results, which are then reported.

Cognitive Morphology in Swedish: Studies with Normals and Aphasics

1994 ◽  
Vol 17 (1) ◽  
pp. 61-73 ◽  
Author(s):  
Elisabeth Ahlsén
Keyword(s):  
Lexical Decision ◽  
Speech Production ◽  
Oral Reading ◽  
Word Processing ◽  
Morphological Processing ◽  
Different Types ◽  
Simple Processing ◽  
Slips Of The Tongue ◽  
Whole Word ◽  
Swedish Data

A multiple methods approach was applied to the study of morphology on the processing of lexical items in Swedish. Data from slips-of-the-tongue, agrammatic speech production, agrammatic oral reading, and lexical decision experiments were used. The results indicate that whole word processing as well as morphological processing takes place in the different types of tasks. The type of processing seems to vary along a continuum, with whole word processing as the most commonly applied type in automatized and relatively simple processing (such as lexical decision for common Swedish words), whereas signs of morpheme-based processing appear less often, and perhaps in less automatized tasks (such as agrammatic speech production).

Aircraft Type Recognition in High-Resolution SAR Images Using Multi-Scale Autoconvolution

2010 ◽  
Vol 439-440 ◽  
pp. 1475-1480
Author(s):  
Li Ping Zhang ◽  
Chao Wang ◽  
Hong Zhang ◽  
Bo Zhang
Keyword(s):  
High Resolution ◽  
Nearest Neighbor ◽  
Simulated Data ◽  
Automatic Target Recognition ◽  
Morphological Processing ◽  
Affine Invariant ◽  
Accuracy Rate ◽  
Sar Images ◽  
Multi Scale ◽  
Aircraft Type

Automatic target recognition is the key stage of SAR image interpretation system and has been taking a great interest to the researchers in recent years. Aiming at the issue of aircraft type recognition in high-resolution SAR images, a novel method based on multi-scale autoconvolution (MSA) affine invariant moment is proposed. First, the texture analysis and clustering method are used to segment the SAR images and then the denoising algorithm and morphological processing are applied to segmented results. Second, 29 MSA features are extracted and form a feature vector to represent the target, then the vector components are standardized by gauss normalization. In the final, the vectors are classified by using the nearest neighbor classifier and template library constructed previously. Experimental results show that the proposed method can obtain high accuracy rate with high processing speed, in which the accuracy rate of two type aircrafts with real data arrives at 85.17% and the accuracy rate of four type aircrafts with simulated data arrives at 87.85%.

scholarly journals Exploring the Spatiotemporal Characteristics of COVID-19 Infections among Healthcare Workers: A Multi-Scale Perspective

2021 ◽  
Vol 10 (10) ◽  
pp. 691
Author(s):  
Hui Ren ◽  
Peixiao Wang ◽  
Wei Guo ◽  
Xinyan Zhu
Keyword(s):  
High Risk ◽  
Poisson Distribution ◽  
Infection Rate ◽  
Healthcare Workers ◽  
Chi Square ◽  
Multi Scale ◽  
Spatiotemporal Characteristics ◽  
Care Workers ◽  
Different Types ◽  
Chi Square Test

The outbreak of COVID-19 has constantly exposed health care workers (HCWs) around the world to a high risk of infection. To more accurately discover the infection differences among high-risk occupations and institutions, Hubei Province was taken as an example to explore the spatiotemporal characteristics of HCWs at different scales by employing the chi-square test and fitting distribution. The results indicate (1) the units around the epicenter of the epidemic present lognormal distribution, and the periphery is Poisson distribution. There is a clear dividing line between lognormal and Poisson distribution in terms of the number of HCWs infections. (2) The infection rates of different types of HCWs at multiple geospatial scales are significantly different, caused by the spatial heterogeneity of the number of HCWs. (3) With the increase of HCWs infection rate, the infection difference among various HCWs also gradually increases and the infection difference becomes more evident on a larger scale. The analysis of the multi-scale infection rate and statistical distribution characteristics of HCWs can help government departments rationally allocate the number of HCWs and personal protective equipment to achieve distribution on demand, thereby reducing the mental and physical pressure and infection rate of HCWs.

scholarly journals Bankline detection of GF-3 SAR images based on shearlet

2021 ◽  
Vol 7 ◽  
pp. e611
Author(s):  
Zengguo Sun ◽  
Guodong Zhao ◽  
Marcin Woźniak ◽  
Rafał Scherer ◽  
Robertas Damaševičius
Keyword(s):  
Water Environment ◽  
Detection Algorithm ◽  
Morphological Processing ◽  
Map Matching ◽  
Sar Image ◽  
Sar Images ◽  
Multi Scale ◽  
Local Means ◽  
Active Imaging ◽  
Non Local

The GF-3 satellite is China’s first self-developed active imaging C-band multi-polarization synthetic aperture radar (SAR) satellite with complete intellectual property rights, which is widely used in various fields. Among them, the detection and recognition of banklines of GF-3 SAR image has very important application value for map matching, ship navigation, water environment monitoring and other fields. However, due to the coherent imaging mechanism, the GF-3 SAR image has obvious speckle, which affects the interpretation of the image seriously. Based on the excellent multi-scale, directionality and the optimal sparsity of the shearlet, a bankline detection algorithm based on shearlet is proposed. Firstly, we use non-local means filter to preprocess GF-3 SAR image, so as to reduce the interference of speckle on bankline detection. Secondly, shearlet is used to detect the bankline of the image. Finally, morphological processing is used to refine the bankline and further eliminate the false bankline caused by the speckle, so as to obtain the ideal bankline detection results. Experimental results show that the proposed method can effectively overcome the interference of speckle, and can detect the bankline information of GF-3 SAR image completely and smoothly.

Subnational carbon flow pattern analysis using multi-scale input-output model

2020 ◽  
Vol 431 ◽  
pp. 109138 ◽  
Author(s):  
Junmei Hu ◽  
Gengyuan Liu ◽  
Fanxin Meng ◽  
Yuanchao Hu ◽  
Marco Casazza
Keyword(s):  
Flow Pattern ◽  
Pattern Analysis ◽  
Carbon Flow ◽  
Input Output ◽  
Multi Scale

The Buddha in Lanna

2017 ◽  
Author(s):  
Angela S. Chiu
Keyword(s):  
Social Agency ◽  
Historical Study ◽  
Sri Lankan ◽  
Focal Points ◽  
Northern Thailand ◽  
Art Objects ◽  
Different Types ◽  
The Buddha

This work is the first in-depth historical study of the Thai tradition of donation of that most iconic of Thai art objects, the Buddha image. The book introduces stories from tamnan(chronicles), monastic histories and legends from the Lanna region centered in today’s northern Thailand. Examination of themes, structures and motifs illuminates the conceptual and material aspects of Buddha images that influenced their functions in Lanna society. As agents and mediators of social agency, Buddha images were focal points of pan-regional political-religious lineages and rivalries, indeed, the very generators of history itself. Statues also unified the Buddha with the northern Thai landscape, integrating Buddhist and local significances of place. The book also compares Thai statues with Sri Lankan and Burmese-Mon Buddha relics and images, contributing to broader understanding of how materially different types of Buddhist representations mediated the Buddha’s ‘presence.’ Moreover, the book considers fundamental yet rarely critically deliberated questions such as how particular statues were selected as models to be copied. This involves the image’s aspect as an exchange of financial outlay for merit, ‘commoditized’ even as it is ‘singularized’ through enshrinement. Throughout its ‘life,’ the Thai Buddha image is always a part of wider society beyond monastery walls.

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