12 research outputs found
Historical document analysis based on word matching
Ankara : The Department of Computer Engineering and the Institute of Engineering and Science of Bilkent University, 2011.Thesis (Master's) -- Bilkent University, 2011.Includes bibliographical references leaves 67-76.Historical documents constitute a heritage which should be preserved and providing
automatic retrieval and indexing scheme for these archives would be beneficial
for researchers from several disciplines and countries. Unfortunately, applying ordinary
Optical Character Recognition (OCR) techniques on these documents is
nearly impossible, since these documents are degraded and deformed. Recently,
word matching methods are proposed to access these documents. In this thesis,
two historical document analysis problems, word segmentation in historical
documents and Islamic pattern matching in kufic images are tackled based on
word matching. In the first task, a cross document word matching based approach
is proposed to segment historical documents into words. A version of a
document, in which word segmentation is easy, is used as a source data set and
another version in a different writing style, which is more difficult to segment
into words, is used as a target data set. The source data set is segmented into
words by a simple method and extracted words are used as queries to be spotted
in the target data set. Experiments on an Ottoman data set show that cross
document word matching is a promising method to segment historical documents
into words. In the second task, firstly lines are extracted and sub-patterns are
automatically detected in the images. Then sub-patterns are matched based on a
line representation in two ways: by their chain code representation and by their
shape contexts. Promising results are obtained for finding the instances of a query
pattern and for fully automatic detection of repeating patterns on a square kufic
image collection.ArifoÄŸlu, DamlaM.S
Segmentation based Ottoman text and matching based Kufic image analysis
Ankara : The Department of Computer Engineering and the Graduate School of Engineering and Science of Bilkent University, 2013.Thesis (Master's) -- Bilkent University, 2013.Includes bibliographical references leaves 80-88.Large archives of historical documents attract many researchers from all around
the world. The increasing demand to access those archives makes automatic retrieval
and recognition of historical documents crucial. Ottoman archives are one
of the largest collections of historical documents. Although Ottoman is not a
currently spoken language, many researchers from all around the world are interested
in accessing the archived material. This thesis proposes two Ottoman
document analysis studies; first one is a crucial pre-processing task for retrieval
and recognition which is segmentation of documents. Second one is a more specific
retrieval and recognition problem which aims matching Islamic patterns is
Kufic images. For the first segmentation task, layout, line and word segmentation
is studied. Layout segmentation is obtained via Log-Gabor filtering. Four
different algorithms are proposed for line segmentation and finally a simple morphological
method is preferred for word segmentation. Datasets are constructed
with documents from both Ottoman and other languages (English, Greek and
Bangla) to test the script-independency of the methods. Experiments show that
our segmentation steps give satisfactory results. The second task aims to detect
Islamic patterns in Kufic images. The sub-patterns are considered as basic units
and matching is used for the analysis. Graphs are preferred to represent subpatterns
where graph and sub-graph isomorphism are used for matching them.
Kufic images are analyzed in three different ways. Given a query pattern, all the
instances of the query can be found through retrieval. Going further, through
known patterns images can be automatically labeled in the entire dataset. Finally,
patterns that repeat inside an image can be automatically discovered. As
there is no existing Kufic dataset, a new one is constructed by collecting images
from the Internet and promising results are obtained on this dataset.Adıgüzel, HandeM.S
101 Obras maestras: ciencia y arte en los museos y bibliotecas de Madrid
[EN] More than 365 days, more than 30 institutions,
more than 50 authors and 101 (or
more) works are the numbers which brings
together this project. The title 101 Masterworks:
Science and Art in the Museums and
Libraries of Madrid gathers a collection of
pieces with different chronologies, techniques,
materials and purposes. Also varied
are their locations: from Alcalá de Henares
to San Lorenzo del Escorial, as well as Atocha,
el Prado, Recoletos, the Complutense
University campus, and an endless number
of spaces within the city and the Community
of Madrid. Despite the apparent disparateness
of these works, they all share a
common singularity: being a representative
piece in the history of science and the history
of art which, despite being recognised
as both distant and different, developed
hand in hand over the centuries.[ES] Más de 365 dÃas, más de 30 instituciones,
más de 50 autores y 101 obras (o más) son
cifras cuya suma da como resultado este
proyecto. Bajo el tÃtulo 101 obras maestras:
ciencia y arte en los museos y bibliotecas
de Madrid se reúnen un conjunto de piezas
de diversas cronologÃas, técnicas, materiales
y finalidades. Variadas son también sus
ubicaciones: de Alcalá de Henares a San
Lorenzo de El Escorial, pasando por Atocha,
el Prado, Recoletos, el campus universitario
de la Complutense, y un sinfÃn de otras
localizaciones en la ciudad y Comunidad de
Madrid. A pesar de esta aparente amalgama,
todas ellas aúnan la peculiaridad de ser representativas
de las historias de la ciencia y
del arte, las cuales, aunque en la actualidad
son reconocidas como distantes y dispares
entre sÃ, a lo largo de los siglos caminaron
de la mano.La realización de éste proyecto ha sido posible gracias a la financiación de
la Fundación Española para la Ciencia y la
TecnologÃa en su Convocatoria de Ayudas del
Programa de Cultura CientÃfica y de la Innovación
2012Peer reviewe
Análisis de motivos decorativos de tejidos y revestimientos cerámicos en el entorno de la visión artificial. Aplicación a la reconstrucción de motivos históricos y al diseño
El objetivo de esta tesis es la contribución a la creación, e implementación en herramientas informáticas, de una metodologÃa aplicable para el análisis y edición de imágenes procedentes del campo de los diseños cerámicos y textiles, y por extensión, de todas aquellas imágenes que siguen un patrón repetitivo y que, por tanto, se ajustan a la TeorÃa de Grupos de SimetrÃa. Para ello, se ha definido una metodologÃa de análisis dividida en etapas, en la que se va aumentando gradualmente el nivel de la información manejada, desde los pÃxeles de la imagen inicial, pasando por los objetos (formas o unidades básicas perceptúales) y los motivos (agrupaciones de objetos realizadas con criterios perceptúales) hasta llegar a la estructura del patrón, es decir, las distintas transformaciones geométricas que relacionan los elementos (objetos y motivos) que lo forman. La información estructural obtenida es utilizada con fines diversos: la clasificación de las imágenes según el Grupo de SimetrÃa del Plano del patrón, la reconstrucción de las imágenes aprovechando el conocimiento de qué partes están relacionadas por la estructura, y por último, la edición de patrones, tanto a nivel de formas y motivos, como de estructura, permitiendo realizar cambios estructurales con facilidad, con lo que se generan familias de patrones a partir de uno analizado. Las herramientas desarrolladas han sido probadas con un amplio conjunto de imágenes de patrones de procedencias muy diversas, destacando el estudio de los alicatados de la Alhambra de Granada y del Alcázar de Sevilla, asà como de textiles y, ampliando los objetivos iniciales, a diversos elementos del entorno urbano.Albert Gil, FE. (2006). Análisis de motivos decorativos de tejidos y revestimientos cerámicos en el entorno de la visión artificial. Aplicación a la reconstrucción de motivos históricos y al diseño [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/1936Palanci
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