80 Result(s)
within
English
Image Processing and Computer Vision
Qing-**ang Wang
Conference Paper
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Chapter and Conference Paper
Leaf Image Retrieval with Shape Features
In this paper we present an eficient two-step approach of using a shape characterization function called centroid-contour distance curve and the object eccentricity (or elongation) for leaf image retrieval. Bo...
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Chapter and Conference Paper
A Hybrid Approach to Detect Adult Web Images
This paper presents a hybrid approach to discriminate benign images from adult images. Different from previously published works, our approach combines face detection and adaptive skin detection. First, face d...
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Chapter and Conference Paper
A General Criterion of Synchronization Stability in Ensembles of Coupled Systems and Its Application
Complete synchronization of N coupled systems with symmetric configurations is studied in this paper. The main idea of the synchronization stability criterion is based on stability analysis of zero solution of li...
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Chapter and Conference Paper
What Can Expressive Semantics Tell: Retrieval Model for a Flash-Movie Search Engine
Flash, as a multimedia format, becomes more and more popular on the Web. However, previous works on Flash are unpractical to build a content-based Flash search engine. To address this problem, our paper propos...
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Chapter and Conference Paper
A Novel Approach to Ocular Image Enhancement with Diffusion and Parallel AOS Algorithm
This paper suggests a new diffusion method, which based on modified coherence diffusion for the enhancement of ocular fundus images (OFI) and parallel AOS scheme is applied to speed algorithm, which is faster ...
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Chapter and Conference Paper
Possibility Theoretic Clustering
Based on the exponential possibility model, the possibility theoretic clustering algorithm is proposed in this paper. The new algorithm is distinctive in determining an appropriate number of clusters for a giv...
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Chapter and Conference Paper
Combination of Multiple Nearest Neighbor Classifiers Based on Feature Subset Clustering Method
This paper proposes a new method called FC-MNNC based on feature subset clustering for combining multiple NNCs to obtain better performance than that of using a single NNC. In FC-MNNC, the component NNCs based...
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Chapter and Conference Paper
QP_TR Trust Region Blob Tracking Through Scale-Space with Automatic Selection of Features
A new approach of tracking objects in image sequences is proposed, in which the constant changes of the size and orientation of the target can be precisely described. For each incoming frame, a likelihood imag...
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Chapter and Conference Paper
Virtual Biology Modeling Method Based on Validity Confirmation Mechanism
The problem of the existing constructing process for virtual biology model is that it is not analyzed whether the enacted initial condition of the judgment model is reasonable or satisfying with the natural bi...
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Chapter and Conference Paper
Clustering Spherical Shells by a Mini-Max Information Algorithm
We focus on spherical shells clustering by a mini-max information (MMI) clustering algorithm based on mini-max optimization of mutual information (MI). The minimization optimization leads to a mass constrained...
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Chapter and Conference Paper
An Epileptic Seizure Prediction Algorithm from Scalp EEG Based on Morphological Filter and Kolmogorov Complexity
Epilepsy is the most common neurological disorder in the world, second only to stroke. There are nearly 15 million patients suffer from refractory epilepsy, with no available therapy. Although most seizures ar...
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Chapter and Conference Paper
Multi-view Feature Matching and Image Grou** from Multiple Unordered Wide-Baseline Images
In this paper, we present a photo grou** method in multi-view feature matching problem, especially from multiple unordered wide-baseline images. By analyzing and comparing the connections between images with...
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Chapter and Conference Paper
Grou** and Summarizing Scene Images from Web Collections
This paper presents an efficient approach to group and summarize the large-scale image dataset gathered from the internet. Our method firstly employs the bag-of-visual-words model which has been successfully u...
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Chapter and Conference Paper
The Simulation Analysis of the TBM Disc Cutter Phase Angle
A series of numerical experiments was performed to simulate rock fragmentation by TBM (Tunnel Boring Machine) disc cutter. We used the large non-linear dynamic finite element software ANSYS/LS-DYNA to simulate...
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Chapter and Conference Paper
Study on Co-precipitation Control for Complex Mixed Solution
Sliding mode adaptive control algorithm was proposed for a class of uncertain nonlinear systems based on Lyapunov’s stability theory. The system was divided into nominal model and lumped disturbance term which...
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Chapter and Conference Paper
Distributed Staff’s Integral Systems Design and Implementation
This article is based on the practical application of the communications industry, to make fully use of the characteristic of distributed systems such as it can solve the dispersed organization and the data th...
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Chapter and Conference Paper
A Model of Image Representation Based on Non-classical Receptive Fields
In this paper, we utilize the physiological mechanism of non-classical receptive field and design a hierarchical network model for image representation based on neurobiology. It is different from the contour d...
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Chapter and Conference Paper
Recognition of Leaf Image Based on Outline and Vein Fractal Dimension Feature
This article discussed a method of describing the characteristics of plant leaves based on the outline fractal dimension and venation fractal dimension. The method first separated leaf edge and vein .According...
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Chapter and Conference Paper
Sparse Representation with Geometric Configuration Constraint for Line Segment Matching
We present a novel line segment matching method based on sparse representation with geometric configuration constraint. The significant idea is that we transfer the line matching issue into sparsity based line...
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Chapter and Conference Paper
Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of Label Noise
Recently a category of tracking methods based on “tracking-by-detection” is widely used in visual tracking problem. Most of these methods update the classifier online using the samples generated by the tracker...
