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An automatic liver lesion detection method for CT images is presented, which need not learn the model parameters and segment liver region. The lesion detection problem is formulated as finding a region with maximal score. The developed method employs an over-segmentation algorithm to generate the superpixels (small regions) and adapts the Naive Bayes Nearest Neighbor (NBNN) classifier to score the...
This paper presents a novel approach to achieve optimization for the audio features in compressed domain, which is the PSO (particle swarm optimization) algorithm basing on the attribute importance criterion of rough set theory. Our method firstly extracts the attributes of audio to form the feature vectors and pre-processes these vectors, then realizes the optimization using the proposed PSO algorithm,...
Age-related macular degeneration (AMD) with the complication of choroidal neovascularization (CNV) has been the major cause of severe, irreversible vision loss in many developed countries. The imaging modality that is commonly used to reveal the vascular abnormalities of CNV is fluorescein angiography (FA). Analysis and interpretation of FA sequences are largely performed by skilled observers on single...
The problem of recognizing multiple object classes in natural images has proven to be a difficult challenge for compute vision. It is reasonable to look to biology for inspiration, a novel multiclass object recognition algorithm based on a biologically inspired model named ST model is proposed. ST model is based on the theory of biological neurology, which calculates object features that exhibit position...
The objective of this paper is aimed to measure and analyze urban expansion and its driving forces of Tai'an from 1979 to 2005. The research work depended on interpreting multitemporal satellite images and made use of GIS analysis. Using various data of Landsat MSS (1979), Landsat TM (1987, 1997), QuickBird (2005), urban spatial information was classified and extracted by a decision tree algorithm,...
Gastroscopy is important tool for the clinical examination of gastric diseases, and the abnormality detection on the gastroscopic images will help physicians to diagnose. An improved patches assembled by local weights is presented in this paper. First, a series of classifiers on image patches with different sizes have been analyzed to find the suitable size. The boosted stumps are employed as the...
In order to support more value-added services and a larger space for IP addresses, the Internet requries to classify IPv6 packets into flows for specific requirements. High performance IPv6 packet classification (PC) algorithms are therefore in high demand. This paper proposes a new IPv6 PC algorithm based on flow label (FL), called FLIN (Flow Label Initial Noticed). FLIN is fast and scalable with...
Recently, the significantly increased IPv6 address length has posed a greater challenge on wire-speed router for packet classification (PC). Most conventional IPv4-based PC algorithms are no longer suitable for IPv6 PC. The performance and capacity of many IPv6 algorithms and classification devices depend upon properties of the IPv6 classifiers. However, there are no publicly available IPv6 real classifiers...
This paper designs an active Voice over Internet Protocol (VoIP) security defense model, aiming to cope with various attack problems that the network is confronting. Based on the model, a dynamic self-adaptive diffluence algorithm that can be applied to the VoIP Gateway was proposed. It combines advantages of UBS selection strategy and weighted Bayesian classification algorithm, the algorithm can...
Steganography is a technique for embedding secret messages into carriers. Linguistic steganography is a branch of text steganography. Research on attacking methods against linguistic steganography plays an important role in information security (IS) area. In this paper, a linguistic steganography detecting algorithm using statistical language model (SLM) is presented. An experiment to detect text...
Gastroscopy is widely used for the clinical examination of gastric diseases. The computerized methods capable to detect abnormal regions can help the physicians to identify the suspicious regions in gastroscopic images. The patch-based technique with the boosted stumps is adopted to detect all kinds of abnormalities in this paper. Considering that the responses of patch classifiers on the neighboring...
A new steganalysis method is proposed to detect the exists of hidden information using character substitution in texts. This is done by utilizing Support Vector Machine (SVM) as a classifier to classify the characteristic vector input into SVM. The most important step of this detection algorithm is the construction of a proper characteristic vector. Under the prerequisite that the secret bits to be...
Linguistic steganography is a technique for hiding information into text carriers. Most of the previous work on linguistic steganography was focused on steganography and there were few researches on steganalysis. Research on attacking methods against linguistic steganography plays an important role in information security (IS) area. In this paper, a linguistic steganography detection algorithm based...
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