Spectral phenomenology of historical parchments and inks to aid cultural heritage imaging system development

2018 ◽  
Author(s):  
David W. Messinger ◽  
Tyler Kuhns
Keyword(s):  
Cultural Heritage ◽  
Imaging System ◽  
System Development

scholarly journals A New Acquisition and Imaging System for Environmental Measurements: An Experience on the Italian Cultural Heritage

Sensors ◽  
2014 ◽  
Vol 14 (5) ◽  
pp. 9290-9312 ◽  
Author(s):  
Fabio Leccese ◽  
Marco Cagnetti ◽  
Andrea Calogero ◽  
Daniele Trinca ◽  
Stefano Pasquale ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Imaging System

scholarly journals Time-domain imaging system in the terahertz range for immovable cultural heritage materials

Strain ◽  
2018 ◽  
Vol 55 (2) ◽  
pp. e12292
Author(s):  
David Giovannacci ◽  
Hoi Ching Cheung ◽  
Gillian C. Walker ◽  
John W. Bowen ◽  
Dominique Martos-Levif ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Time Domain ◽  
Imaging System ◽  
Terahertz Range

scholarly journals A Conceptual Model of Folktale Classification as a Visual Guide to a Malaysian Folktale Classification System Development

2018 ◽  
Vol 150 ◽  
pp. 05080
Author(s):  
Harryizman Harun ◽  
Zulikha Jamaludin
Keyword(s):  
Cultural Heritage ◽  
Conceptual Model ◽  
Classification System ◽  
System Development ◽  
Classification Method ◽  
Pictorial Representation ◽  
Intangible Cultural Heritage ◽  
Representation Method ◽  
Comprehensive Classification

In a study to systematically preserve the Malaysian folktales as one of Malaysia’s intangible cultural heritage, a Malaysian Folktale Classification System (MFCS) is proposed to be developed as encouraged by UNESCO. Such a classification system is currently absent in Malaysia. In order to develop a comprehensive classification system, three folktale units are integrated and utilized: function, motif, and type. The use of the three folktale units ensures that the MFCS covers two important facets of folktale: structure and content. The integration of the classification system warrants a complicated classification process. Therefore, a conceptual model, which is central to this article, is constructed as a visual guide to assist the classification process. It illustrates a flow of analysis and all components required to classify namely the three folktale units and their guiding factors, and a primary classification method. A pictorial representation method is utilized to construct the conceptual model. With the conceptual model constructed, it is expected that the analysis of the Malaysian folktales toward the development of the MFCS becomes apparent and guided.

X-ray fluorescence imaging system for fast mapping of pigment distributions in cultural heritage paintings

2013 ◽  
Vol 8 (10) ◽  
pp. P10011-P10011 ◽  
Author(s):  
A Zielińska ◽  
W Dąbrowski ◽  
T Fiutowski ◽  
B Mindur ◽  
P Wiącek ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Fluorescence Imaging ◽  
Imaging System ◽  
Fast Mapping ◽  
X Ray ◽  
Fluorescence Imaging System

IRIS: a novel spectral imaging system for the analysis of cultural heritage objects

2011 ◽  
Author(s):  
V. M. Papadakis ◽  
Y. Orphanos ◽  
S. Kogou ◽  
K. Melessanaki ◽  
P. Pouli ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Imaging System ◽  
Spectral Imaging ◽  
Cultural Heritage Objects

scholarly journals Hyper-Spectral Imaging Technique in the Cultural Heritage Field: New Possible Scenarios

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2843 ◽  
Author(s):  
Marcello Picollo ◽  
Costanza Cucci ◽  
Andrea Casini ◽  
Lorenzo Stefani
Keyword(s):  
Cultural Heritage ◽  
Hyperspectral Imaging ◽  
Imaging System ◽  
Imaging Techniques ◽  
Imaging Spectroscopy ◽  
Spectral Imaging ◽  
Imaging Data ◽  
Spectroscopic Information ◽  
Hyper Spectral Imaging ◽  
Recent Developments

Imaging spectroscopy technique was introduced in the cultural heritage field in the 1990s, when a multi-spectral imaging system based on a Vidicon camera was used to identify and map pigments in paintings. Since then, with continuous improvements in imaging technology, the quality of spectroscopic information in the acquired imaging data has greatly increased. Moreover, with the progressive transition from multispectral to hyperspectral imaging techniques, numerous new applicative perspectives have become possible, ranging from non-invasive monitoring to high-quality documentation, such as mapping and characterization of polychrome and multi-material surfaces of cultural properties. This article provides a brief overview of recent developments in the rapidly evolving applications of hyperspectral imaging in this field. The fundamentals of the various strategies, that have been developed for applying this technique to different types of artworks are discussed, together with some examples of recent applications.

scholarly journals Melestarikan Batik Tradisional Rifa'iyah Sebagai Identitas Budaya Komunitas Rifa'iyah

2018 ◽  
Vol 21 (1) ◽  
pp. 29-42
Author(s):  
Sri Mustika
Keyword(s):  
Data Analysis ◽  
Cultural Identity ◽  
Cultural Heritage ◽  
Elementary Students ◽  
Strong Influence ◽  
System Development ◽  
Study Data ◽  
Coding System ◽  
Central Java ◽  
Depth Interviews

There are various types of batik in Indonesia. One of them is Rifa’iyah batik produced by Rifa’iyah community in Kalipucang Wetan, Batang, Central Java. It gets the strong influence of Islam. It is classical batik since the motifs persist from one generation to another generation. This research focuses on the preservation of batik as the cultural identity of Rifa’iyah community. By using the paradigm of constructivism, cultural identity theory, and methods of phenomenology, the researcher intends to understand the preservation effort of batik Rifa’iyah. Data were collected based on observation, in-depth interviews, and documentation study. Data analysis was done by coding system development technique. This study found that members of the batik Rifa’iyah community still admit batik as their cultural identity. But nowadays young batik artists have increasingly reduced, so it is feared that no one will preserve batik Rifa’iyah in the future. Various efforts to maintain it among others are by forming Rifa’iyah batik maker community serving as coordinating institution, organizing batik workshop for batik makers, attending batik exhibition, opening free batik class for elementary students, and motivating teenagers to appreciate batik as their cultural heritage.

scholarly journals Automated Detection and Counting of Hard Exudates for Diabetic Retinopathy by using Watershed and Double Top-Bottom Hat Filtering Algorithm

2021 ◽  
Vol 5 (3) ◽  
pp. 242
Author(s):  
Dafwen Toresa ◽  
Mohamad Azrul Edzwan Shahril ◽  
Nor Hazlyna Harun ◽  
Juhaida Abu Bakar ◽  
Hidra Amnur
Keyword(s):  
Diabetic Retinopathy ◽  
Imaging System ◽  
System Development ◽  
Ground Truth ◽  
Automated Detection ◽  
Retinal Images ◽  
Segmentation Method ◽  
Hard Exudates ◽  
Detection And Counting

Diabetic Retinopathy (DR) is one of diabetes complications that affects our eyes. Hard Exudate (HE) are known to be the early signs of DR that potentially lead to blindness. Detection of DR automatically is a complicated job since the size of HE is very small. Besides, our community nowadays lack awareness on diabetic where they do not know that diabetes can affect eyes and lead to blindness if regular check-up is not performed. Hence, automated detection of HE known as Eye Retinal Imaging System (EyRis) was created to focus on detecting the HE based on fundus image. The purpose of this system development is for early detection of the symptoms based on retina images captured using fundus camera. Through the captured retina image, we can clearly detect the symptoms that lead to DR. In this study, proposed Watershed segmentation method for detecting HE in fundus images. Top-Hat and Bottom-Hat were use as enhancement technique to improve the quality of the image. This method was tested on 15 retinal images from the Universiti Sains Malaysia Hospital (HUSM) at three different stages: Normal, NPDR, and PDR. Ten of these images have abnormalities, while the rest are normal retinal images. The evaluation of the segmentation images would be compared by Sensitivity, F-score and accuracy based on medical expert's hand drawn ground truth. The results achieve accuracy 0.96 percent with 0.99 percent sensitivity for retinal images.

Sign in / Sign up

Export Citation Format

Share Document