132 Result(s)
within
Image Processing and Computer Vision
Zheng-**ong **
Chapter
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Chapter and Conference Paper
Stereo Matching Using Belief Propagation
In this paper, we formulate the stereo matching problem as a Markov network consisting of three coupled Markov random fields (MRF’s). These three MRF’s model a smooth field for depth/disparity, a line process ...
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Chapter and Conference Paper
A CT-Free Intraoperative Planning and Navigation System for High Tibial Dome Osteotomy
High tibial dome osteotomy is a well accepted but technically demanding surgical procedure. Common complications include postoperative malalignment of either under- or over-correction, pin penetration of the t...
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Chapter and Conference Paper
Context Driven Chinese String Segmentation and Recognition
This paper presents a context driven segmentation and recognition method for handwritten Chinese characters. We follow a split-merge technique in character segmentation. In this process, a Chinese text line is...
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Chapter and Conference Paper
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules such as the mean curvature prop...
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Chapter and Conference Paper
Example Based Non-rigid Shape Detection
Since it is hard to handcraft the prior knowledge in a shape detection framework, machine learning methods are preferred to exploit the expert annotation of the target shape in a database. In the previous appr...
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Chapter and Conference Paper
Chinese Visible Human Data Sets and Their Applications
The research on digital visible human is of great significance and application value. The US VHP created the first digital image data set of complete human (male and female) in 1995. To promote worldwide appli...
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Chapter and Conference Paper
Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images
Accuracy of automatic cancer diagnosis is largely determined by two factors, namely, the precision of tumor segmentation, and the suitability of extracted features for discrimination between malignancy and ben...
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Chapter and Conference Paper
Precise Estimation of Postoperative Cup Alignment from Single Standard X-Ray Radiograph with Gonadal Shielding
This paper addresses the problem of estimating postoperative cup alignment from single standard X-ray radiograph with gonadal shielding. The widely used procedure of evaluation of cup orientation following tot...
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Chapter and Conference Paper
Partitioning Gait Cycles Adaptive to Fluctuating Periods and Bad Silhouettes
Period detection and cycle partitioning are always the very beginning for most gait recognition algorithms. Badly segmented silhouettes and random fluctuations in walking speed are two of the main problems for...
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Chapter and Conference Paper
Simulation Method of SAR Raw Echo for Urban Scene
In this paper, a SAR raw data simulation method for urban scene is presented based on the hypothesis that urban area is a set of vertical buildings placed over a random rough dielectric terrain. Facet model an...
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Chapter and Conference Paper
Tracking with Dynamic Hidden-State Shape Models
Hidden State Shape Models (HSSMs) were previously proposed to represent and detect objects in images that exhibit not just deformation of their shape but also variation in their structure. In this paper, we in...
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Chapter and Conference Paper
Signature-Based Document Image Retrieval
As the most pervasive method of individual identification and document authentication, signatures present convincing evidence and provide an important form of indexing for effective document image processing a...
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Chapter and Conference Paper
Fast and Robust 3-D MRI Brain Structure Segmentation
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, the method is a top-down segmen...
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Chapter and Conference Paper
Fuzzy Logic in Exploring Data Effects: A Way to Unveil Uncertainty in EEG Feedback
To unveil effects of data sets with uncertainty, we develop a method applying fuzzy logic to determine data weights in fuzzy inference. Preferable adjustments of initial weight assignment shall be obtained by ...
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Chapter and Conference Paper
Statistically Deformable 2D/3D Registration for Accurate Determination of Post-operative Cup Orientation from Single Standard X-ray Radiograph
The widely used procedure of evaluation of cup orientation following total hip arthroplasty using single standard anteroposterior (AP) radiograph is known inaccurate, largely due to the wide variability in ind...
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Chapter and Conference Paper
Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images
We propose to use the sparseness property of the gradient probability distribution to estimate the intensity nonuniformity in medical images, resulting in two novel automatic methods: a non-parametric method a...
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Chapter and Conference Paper
Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation
C-arm CT is an emerging imaging technique in transcatheter aortic valve implantation (TAVI) surgery. Automatic aorta segmentation and valve landmark detection in a C-arm CT volume has important applications in...
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Chapter and Conference Paper
System to Guide Transcatheter Aortic Valve Implantations Based on Interventional C-Arm CT Imaging
Transcatheter aortic valve implantation is an emerging technique to be applied in patients with aortic valve defects. Angiographic and fluoroscopic X-ray imaging with a C-arm system is crucial in these minimal...
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Chapter and Conference Paper
Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography
Recently conducted clinical studies prove the utility of Coronary Computed Tomography Angiography (CCTA) as a viable alternative to invasive angiography for the detection of Coronary Artery Disease (CAD). This...
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Chapter and Conference Paper
Character Segmentation for License Plate Recognition by K-Means Algorithm
In this paper an improved K-means algorithm is presented to cut character out of the license plate images. Although there are many existing commercial LPR systems, with poor illumination conditions and moving ...
