scholarly journals COMPUTER VISION IN THE TEMPLES OF KARNAK: PAST, PRESENT & FUTURE

2017 ◽  
Vol XLII-5/W1 ◽  
pp. 357-364
Author(s):  
V. Tournadre ◽  
C. Labarta ◽  
P. Megard ◽  
A. Garric ◽  
E. Saubestre ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Cultural Heritage ◽  
Emerging Technologies ◽  
Transdisciplinary Research ◽  
Research Center ◽  
Automatic Computer ◽  
The Past ◽  
Interesting Topic

CFEETK, the French-Egyptian Center for the Study of the Temples of Karnak, is celebrating this year the 50<sup>th</sup> anniversary of its foundation. As a multicultural and transdisciplinary research center, it has always been a playground for testing emerging technologies applied to various fields. The raise of automatic computer vision algorithms is an interesting topic, as it allows nonexperts to provide high value results. This article presents the evolution in measurement experiments in the past 50 years, and it describes how cameras are used today. Ultimately, it aims to set the trends of the upcoming projects and it discusses how image processing could contribute further to the study and the conservation of the cultural heritage.

scholarly journals The Study of Three-Dimensional Fingerprint Recognition in Cultural Heritage

2021 ◽  
Vol 14 (4) ◽  
pp. 1-20
Author(s):  
Dzemila Sero ◽  
Isabelle Garachon ◽  
Erma Hermens ◽  
Robert Van Liere ◽  
Kees Joost Batenburg
Keyword(s):  
Image Processing ◽  
Cultural Heritage ◽  
Three Dimensional ◽  
Fingerprint Recognition ◽  
Person Identification ◽  
Imaging Technologies ◽  
The Past ◽  
Reconstruction Methods ◽  
Cultural Systems ◽  
Digital Fingerprint

Fingerprints play a central role in any field where person identification is required. In forensics and biometrics, three-dimensional fingerprint-based imaging technologies, and corresponding recognition methods, have been vastly investigated. In cultural heritage, preliminary studies provide evidence that the three-dimensional impressions left on objects from the past (ancient fingerprints) are of paramount relevance to understand the socio-cultural systems of former societies, to possibly identify a single producer of multiple potteries, and to authenticate the artist of a sculpture. These findings suggest that the study of ancient fingerprints can be further investigated and open new avenues of research. However, the potential for capturing and analyzing ancient fingerprints is still largely unexplored in the context of cultural heritage research. In fact, most of the existing studies have focused on plane fingerprint representations and commercial software for image processing. Our aim is to outline the opportunities and challenges of digital fingerprint recognition in answering a range of questions in cultural heritage research. Therefore, we summarize the fingerprint-based imaging technologies, reconstruction methods, and analyses used in biometrics that could be beneficial to the study of ancient fingerprints in cultural heritage. In addition, we analyze the works conducted on ancient fingerprints from potteries and ceramic/fired clay sculptures. We conclude with a discussion on the open challenges and future works that could initiate novel strategies for ancient fingerprint acquisition, digitization, and processing within the cultural heritage community.

Randomized Hough Transform

2011 ◽  
pp. 1343-1350 ◽  
Author(s):  
Lei Xu ◽  
Erkki Oja
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Hough Transform ◽  
Random Sampling ◽  
Computational Cost ◽  
Detection Accuracy ◽  
The Past ◽  
Randomized Hough Transform ◽  
Dynamic Storage ◽  
High Computational Cost

Proposed in 1962, the Hough transform (HT) has been widely applied and investigated for detecting curves, shapes, and motions in the fields of image processing and computer vision. However, the HT has several shortcomings, including high computational cost, low detection accuracy, vulnerability to noise, and possibility of missing objects. Many efforts target at solving some of the problems for decades, while the key idea remains more or less the same. Proposed in 1989 and further developed thereafter, the Randomized Hough Transform (RHT) manages to considerably overcome these shortcomings via innovations on the fundamental mechanisms, with random sampling in place of pixel scanning, converging mapping in place of diverging mapping, and dynamic storage in place of accumulation array. This article will provides an overview on advances and applications of RHT in the past one and half decades.

scholarly journals Simulated evaluation of new switching based median filter for suppressing SPN and RVIN

2019 ◽  
Vol 15 (2) ◽  
pp. 688 ◽  
Author(s):  
Vorapoj Patanavijit ◽  
Kornkamol Thakulsukanant
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Impulsive Noise ◽  
Median Filter ◽  
Median Filtering ◽  
Salt And Pepper Noise ◽  
Removal Method ◽  
The Past ◽  
Salt And Pepper ◽  
Objective Indicators

<p>In the past two decades, the SPN (salt and pepper noise) suppressing method is worldwide interested researches on computer vision and image processing hence many SPN suppressing methods have been proposed. In general, the primary goal of SPN removal method is the suppressing of SPN in digital images thereby one of the recent effective and powerful SPN suppressing methods is a new switching-based median filtering (NSMF), which is innovated for suppressing high density SPN. Consequently, this paper thoroughly examines its efficiency and constrain of a new switching-based median filtering when this filter is used for contaminated image, which is synthesized by SPN and RVIN (random-value impulsive noise). In these simulations, six well-known images (Lena, Mobile, Pepper, Pentagon, Girl, Resolution) with two impulsive noise classes (SPN and RVIN) are used for measuring the its efficiency and constrain. An evaluation of the efficiency is conducted with many previous methods in forms of subjective and objective indicators.</p>

A REVIEW OF WAVELET-BASED EDGE DETECTION METHODS

2012 ◽  
Vol 26 (07) ◽  
pp. 1255011 ◽  
Author(s):  
P. S. P. WANG ◽  
JIANWEI YANG
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Pattern Recognition ◽  
Edge Detection ◽  
Main Idea ◽  
Detection Methods ◽  
Local Regularity ◽  
The Past ◽  
Different Types ◽  
Key Issues

Edges are prominent features in images. The detection and analysis of edges are key issues in image processing, computer vision and pattern recognition. Wavelet provides a powerful tool to analyze the local regularity of signals. Wavelet transform has been successfully applied to the analysis and detection of edges. A great number of wavelet-based edge detection methods have been proposed over the past years. The objective of this paper is to give a brief review of these methods, and encourage the research of this topic. In practice, an image is usually of multistructure edge, the identification of different edges, such as steps, curves and junctions play an important role in pattern recognition. In this paper, more attention is paid on the identification of different types of edges. We present the main idea and the properties of these methods.

Image Partitioning on Spiral Architecture

2010 ◽  
pp. 808-840
Author(s):  
Qiang Wu ◽  
Xiangjian He
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
High Performance ◽  
Data Communication ◽  
The Past ◽  
Basic Object ◽  
Powerful Approach ◽  
Algebraic Properties ◽  
Consistent Approach ◽  
Significant Application

Spiral Architecture is a relatively new and powerful approach to image processing. It contains very useful geometric and algebraic properties. Based on the abundant research achievements in the past decades, it is shown that Spiral Architecture will play an increasingly important role in image processing and computer vision. This chapter presents a significant application of Spiral Architecture for distributed image processing. It demonstrates the impressive characteristics of spiral architecture for high performance image processing. The proposed method tackles several challenging practical problems during the implementation. The proposed method reduces the data communication between the processing nodes and is configurable. Moreover, the proposed partitioning scheme has a consistent approach: after image partitioning each sub-image should be a representative of the original one without changing the basic object, which is important to the related image processing operations.

A basic introduction to image processing using NIH-Image as a model

1994 ◽  
Vol 52 ◽  
pp. 392-393
Author(s):  
John Mansfield
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Image Acquisition ◽  
Digital Instrument ◽  
Novice User ◽  
Nih Image ◽  
The Past ◽  
Digital World ◽  
The World ◽  
Instrument Control

Advances in camera technology and digital instrument control have meant that in modern microscopy, the image that was, in the past, typically recorded on a piece of film is now recorded directly into a computer. The transfer of the analog image seen in the microscope to the digitized picture in the computer does not mean, however, that the problems associated with recording images, analyzing them, and preparing them for publication, have all miraculously been solved. The steps involved in the recording an image to film remain largely intact in the digital world. The image is recorded, prepared for measurement in some way, analyzed, and then prepared for presentation.Digital image acquisition schemes are largely the realm of the microscope manufacturers, however, there are also a multitude of “homemade” acquisition systems in microscope laboratories around the world. It is not the mission of this tutorial to deal with the various acquisition systems, but rather to introduce the novice user to rudimentary image processing and measurement.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

ON THE NEED TO COLLECT, PRESERVE AND STUDY DISAPPEARED NAMES OF SETTLEMENTS

2020 ◽  
pp. 187-192
Author(s):  
S.A. Popov
Keyword(s):  
Cultural Heritage ◽  
Russian Federation ◽  
Historical Memory ◽  
Comprehensive Analysis ◽  
Local History ◽  
The Past ◽  
Cultural Systems ◽  
The Russian Federation ◽  
Time Periods ◽  
The Disappeared

The article deals with the problem of collecting, preserving and researching the disappeared names of localities in the subjects of the Russian Federation, which for centuries have become an integral part of the historical and cultural heritage of the peoples of our country. The author believes that only a comprehensive analysis of the past oikonyms in nominational, lexical-semantic, historical-cultural, historical-ethnographic, local history aspects will restore the linguistic and cultural systems of different time periods in different microareals of the Russian Federation. The author comes to the conclusion that in order to preserve the historical memory of the disappeared names of geographical objects, local researchers need the support of regional state authorities and local self-government.

Algorithms for segmentation and recognition of objects on medical images based on chiarlet transformation and neural networks

2020 ◽  
pp. 35-45
Author(s):  
Y.A. Hamad ◽  
K.V. Simonov ◽  
A.S. Kents
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Computer Vision ◽  
Edge Detection ◽  
Medical Images ◽  
Classification Algorithms ◽  
Visual Data ◽  
Recognition Of Objects

The paper considers general approaches to image processing, analysis of visual data and computer vision. The main methods for detecting features and edges associated with these approaches are presented. A brief description of modern edge detection and classification algorithms suitable for isolating and characterizing the type of pathology in the lungs in medical images is also given.

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