Algorithm based on Histogram and Entropy for Edge Detection in Gray Level Images
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 11, Issue 1
Abstract
Edge detection and feature extraction are widely used in image processing and computer vision applications. Most of the traditional methods for edge detection are based on the first and second order derivatives of gray levels of the pixels of the original image utilizing 2D spatial convolution masks to approximate the derivative. In this paper we present an algorithm for edge detection in gray level images. The main objective is to solve the previous problem of traditional methods with generate suitable quality of edge detection. Our new algorithm is based on two definitions of entropy: Shannon’s classical concept and a variation called Tsallis entropy. The novel approach utilizing Subextensive Tsallis entropy rather than the evaluation of derivatives of the image in detecting edges in gray level images has been proposed. Here, we have used a suitable threshold value to segment the image and achieve the binary image. The effectiveness is demonstrated by using many different kinds of test images from the real-world and synthetic images. The results of this study were quite promising.
Authors and Affiliations
Mohamed A. El-Sayed
Keywords
Related Articles
- EP ID EP650280
- DOI 10.24297/ijct.v11i1.1192
- Views 68
- Downloads 0
Performance Evaluation Study of Active Contour Models in Medical Imaging
Over the past years image segmentation has played an important role in medical imaging. Segmented images are used for a number of applications such as computer aided surgery, treatment planning, diagnosis, study of anato...
Cultural Differences and Common Regional Challenges for e-Commerce in Asia-Pacific Region
Taking in consideration that the rapid growth using online services last few years becomes more necessary all over the world and on the other side since the internet revolution, it seemed important and useful for all onl...
Survey paper on various mining methods on multimedia Images
Multimedia mining is a young but challenging subfield in data mining .Multimedia explanation represents an application of computer vision that presents the recognition of objects or ideas related to a multimedia document...
Analysis of MAC Protocol for Reliable Broadcast
In wireless communication It is important to find a reliable broadcasting protocol that is especially designed for an optimum performance of public-safety and data travelling related applications. Using RSU and OBU, ther...
S Parameter Computation and Their Use for Electromagnetic Energy Wireless Transmission
This paper present the correct way of defining S parameters, based on linear electrical circuits, and the practical use of these parameters in obtaining efficient processes for transmitting the information and of the ele...