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Autograph: Toward automated, distributed worm signature detection

by Hyang-ah Kim - In Proceedings of the 13th Usenix Security Symposium , 2004
"... Today’s Internet intrusion detection systems (IDSes) monitor edge networks ’ DMZs to identify and/or filter malicious flows. While an IDS helps protect the hosts on its local edge network from compromise and denial of service, it cannot alone effectively intervene to halt and reverse the spreading o ..."
Abstract - Cited by 362 (3 self) - Add to MetaCart
Today’s Internet intrusion detection systems (IDSes) monitor edge networks ’ DMZs to identify and/or filter malicious flows. While an IDS helps protect the hosts on its local edge network from compromise and denial of service, it cannot alone effectively intervene to halt and reverse the spreading

Color image segmentation: Advances and prospects

by H. D. Cheng, X. H. Jiang, Y. Sun, Jing Li Wang - Pattern Recognition , 2001
"... Image segmentation is very essential and critical to image processing and pattern recognition. This survey provides a summary of color image segmentation techniques available now. Basically, color segmentation approaches are based on monochrome segmentation approaches operating in di erent color spa ..."
Abstract - Cited by 199 (5 self) - Add to MetaCart
spaces. Therefore, we rst discuss the major segmentation approaches for segmenting monochrome images: histogram thresholding, characteristic feature clustering, edge detection, region-based methods, fuzzy techniques, neural networks, etc. � then review some major color representation methods

EdgeFlow: a technique for boundary detection and image segmentation

by Wei-ying Ma, B. S. Manjunath - IEEE Trans. Image Processing , 2000
"... Abstract—A novel boundary detection scheme based on “edge flow ” is proposed in this paper. This scheme utilizes a predictive coding model to identify the direction of change in color and texture at each image location at a given scale, and constructs an edge flow vector. By propagating the edge flo ..."
Abstract - Cited by 88 (7 self) - Add to MetaCart
Abstract—A novel boundary detection scheme based on “edge flow ” is proposed in this paper. This scheme utilizes a predictive coding model to identify the direction of change in color and texture at each image location at a given scale, and constructs an edge flow vector. By propagating the edge

BFO Based Multithresholding Edge Detection Technique

by Poonamdeep Kaur, Raman Maini
"... Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for optimization and control. It has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several ap ..."
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Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for optimization and control. It has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several

Automatic Circle Detection on Digital Images Using an Adaptive Bacterial Foraging Algorithm

by Sambarta Dasgupta, Swagatam Das, Arijit Biswas, Ajith Abraham
"... Abstract: This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images without using the conventional Hough transform methods. The proposed algorithm is based on a recently developed swarm intelligence technique, known as the Bacterial Foraging ..."
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Abstract: This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images without using the conventional Hough transform methods. The proposed algorithm is based on a recently developed swarm intelligence technique, known as the Bacterial Foraging

Novel Fuzzy logic Based Edge Detection Technique

by Aborisade D. O
"... This paper is based on the development of a fuzzy logic based edge detection technique in digital images. The proposed technique used three linear spatial filters to generate three edge strength values at each pixel of a digital image through spatial convolution process. These edge strength values a ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
This paper is based on the development of a fuzzy logic based edge detection technique in digital images. The proposed technique used three linear spatial filters to generate three edge strength values at each pixel of a digital image through spatial convolution process. These edge strength values

VEHICLE CLASSIFICATION USING NOVEL EDGE DETECTION TECHNIQUE

by Poonam Yadav, Asst. Prof Mandeep Kaur
"... ABSTRACT- Vehicle Class is an important parameter in road traffic management. With the help of vehicle classification the computation of percentage of state-aid streets, highways becomes simpler and it is also used in automated toll bridges. In this paper we classify the vehicles into three main bro ..."
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broad categories: A) Light vehicle B) Medium Vehicle C) Heavy Vehicle. Firstly, the image pre-processing is done with the gray-scale conversion and filtering of the image. Then with the help of fuzzy logic based novel edge detection technique we detect the edges to get the shape and size of the vehicle

Survey of Bacterial Foraging Optimization Algorithm

by Riya Mary Thomas
"... used in optimization for grid computing as they get their inspirations from evolutionary idea of natural evolution. It has been broadly accepted as a global optimization algorithm of current interest for distributed optimization and control. This algorithm is inspired by the social foraging behavior ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
behavior of Escherichia coli. Bacterial Foraging Optimization (BFO) algorithm is a novel evolutionary computation algorithm. It is proposed based on the foraging behavior of the Escherichia coli (E. coli) bacteria living in the human intestine. The BFO algorithm is a biologically inspired computing

Multiscale Detection of Curvilinear Structures in 2-D and 3-D Image Data

by Th. M. Koller, G. Gerig, G. Székely, D. Dettwiler , 1995
"... This paper presents a novel, parameter-free technique for the segmentation and local description of line structures on multiple scales, both in 2-D and 3-D. The algorithm is based on a nonlinear combination of linear filters and searches for elongated, symmetric line structures, while suppressing th ..."
Abstract - Cited by 106 (3 self) - Add to MetaCart
This paper presents a novel, parameter-free technique for the segmentation and local description of line structures on multiple scales, both in 2-D and 3-D. The algorithm is based on a nonlinear combination of linear filters and searches for elongated, symmetric line structures, while suppressing

A NOVEL MORPHOLOGICAL GRADIENT TECHNIQUE FOR EDGE DETECTION USING FUZZY LOGIC

by R. Vanitha* G. Mohankumar
"... This paper presents the edges characterize boundaries and are therefore a problem of fundamental importance in image processing. Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Since ..."
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edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection algorithms. In this project an edge detection method based on the morphological gradient technique and generalized type-2 fuzzy logic. The theory of alpha planes
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