Texture based Drawing Tool Classification in Infrared Reflectograms

نویسندگان

  • Martin Lettner
  • Robert Sablatnig
چکیده

The recognition of painted strokes is an important step in analyzing painted works of art like paintings, drawings and underdrawings. But even for art experts, it is difficult to recognize all drawing tools and materials used for the creation of the strokes. Thus the use of computer aided imaging technologies brings a new and objective analysis and assists the art expert in analyzing painted works of art. This work proposes a method to recognize strokes drawn by different drawing tools and materials. The method uses texture analysis algorithms performing along the drawing trace to distinguish between different types of strokes. The benefit of this method is the increased content of textural information within the stroke and simultaneously in the border region. We tested our algorithms on a set of six different types of strokes: 3 classes of fluid and 3 classes of dry drawing materials.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Painting crack elimination using viscous morphological reconstruction

A method for the elimination of cracks in infrared reflectograms is presented. Infrared reflectograms show the underdrawing – the basic concept of the artist drawn on the ground layer – in ancient wood panel paintings. Caused by different mechanical behaviour of the panel and the covering ground layer during the aging of the painting, cracks appear. Cracks not only disturb the appearance of a p...

متن کامل

High-resolution infrared imaging

The hands and mind of an artist are intimately involved in the creative process of image formation, intrinsically making paintings significantly more complex than photographs to analyze. In spite of this difficulty, several years ago the artist David Hockney and I identified optical evidence within a number of paintings that demonstrated artists began using optical projections as early as c1425...

متن کامل

Automatic classification of Non-alcoholic fatty liver using texture features from ultrasound images

Background: Accurate and early detection of non-alcoholic fatty liver, which is a major cause of chronic diseases is very important and is vital to prevent the complications associated with this disease. Ultrasound of the liver is the most common and widely performed method of diagnosing fatty liver. However, due to the low quality of ultrasound images, the need for an automatic and intelligent...

متن کامل

Performance Comparison of Texture based Approach for Identification of Regions in Satellite Image

Human vision is the most important resource of information used for object recognition and classification. Images having constant intensities can be easily represented by vision. Textures are one of the important features in computer vision as it identifies different regions of an image on the basis of texture properties. It is widely used in variety of applications. Identifying various regions...

متن کامل

Texture Classification of Diffused Liver Diseases Using Wavelet Transforms

Introduction: A major problem facing the patients with chronic liver diseases is the diagnostic procedure.  The conventional diagnostic method depends mainly on needle biopsy which is an invasive method. There  are  some  approaches  to  develop  a  reliable  noninvasive  method  of  evaluating  histological  changes  in  sonograms. The main characteristic used to distinguish between the normal...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005