Thresholding Images of Historical Documents Using a Tsallis-Entropy Based Algorithm

نویسندگان

  • Carlos A. B. Mello
  • Luciana A. Schuler
چکیده

In this paper we present an algorithm for thresholding images of historical documents. The main objective is to generate high quality monochromatic images in order to make them easily accessible through the Internet. Our new algorithm is based on two definitions of entropy: Shannon’s classical concept and a variation called Tsallis entropy. For historical documents, our method proved to be more efficient than several known thresholding algorithms by several measures.

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

2D Tsallis Entropy for Image Segmentation Based on Modified Chaotic Bat Algorithm

Image segmentation is a significant step in image analysis and computer vision. Many entropy based approaches have been presented in this topic; among them, Tsallis entropy is one of the best performing methods. However, 1D Tsallis entropy does not consider make use of the spatial correlation information within the neighborhood results might be ruined by noise. Therefore, 2D Tsallis entropy is ...

متن کامل

Image Segmentation using a Refined Comprehensive Learning Particle Swarm Optimizer for Maximum Tsallis Entropy Thresholding

Thresholding is one of the most important techniques for performing image segmentation. In this paper to compute optimum thresholds for Maximum Tsallis entropy thresholding (MTET) model, a new hybrid algorithm is proposed by integrating the Comprehensive Learning Particle Swarm Optimizer (CPSO) with the Powell’s Conjugate Gradient (PCG) method. Here the CPSO will act as the main optimizer for s...

متن کامل

Image thresholding using two-dimensional Tsallis-Havrda-Charvát entropy

In this paper, we present a thresholding technique based on two-dimensional Tsallis–Havrda–Charvát entropy. The effectiveness of the proposed method is demonstrated by using examples from the real-world and synthetic images. 2005 Elsevier B.V. All rights reserved.

متن کامل

Shannon, Tsallis and Kaniadakis entropies in bi-level image thresholding

The maximum entropy principle is often used for bi-level or multi-level thresholding of images. For this purpose, some methods are available based on Shannon and Tsallis entropies. In this paper, we discuss them and propose a method based on Kaniadakis entropy.

متن کامل

A comparative performance of gray level image thresholding using normalized graph cut based standard S membership function

In this research paper, we use a normalized graph cut measure as a thresholding principle to separate an object from the background based on the standard S membership function. The implementation of the proposed algorithm known as fuzzy normalized graph cut method. This proposed algorithm compared with the fuzzy entropy method [25], Kittler [11], Rosin [21], Sauvola [23] and Wolf [33] method. M...

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:
  • JSW

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2008