22 Result(s)
within
English
Image Processing and Computer Vision
Pattern Recognition
Yi**ang Chen
Conference Paper
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Chapter and Conference Paper
Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval
In this paper, we propose an order-sensitive deep hashing for scalable medical image retrieval in the scenario of coexistence of multiple medical conditions. The pairwise similarity preservation in existing ha...
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Chapter and Conference Paper
Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images
Purpose: To automatically segment neurosensory retinal detachment (NRD)-associated subretinal fluid in spectral domain optical coherence tomography (SD-OCT) images by constructing a Hessian-based Aggregate genera...
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Chapter and Conference Paper
Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images
Choroidal neovascularization (CNV), caused by new blood vessels in the choroid growing through the Bruch’s membrane, is an important manifestation of terminal age-related macular degeneration (AMD). Automated ...
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Chapter and Conference Paper
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks
This work shows that it is possible to fool/attack recent state-of-the-art face detectors which are based on the single-stage networks. Successfully attacking face detectors could be a serious malware vulnerab...
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Chapter and Conference Paper
Preprocessing and Segmentation Algorithm for Multiple Overlapped Fiber Image
In the fiber image recognition system, pinpoint segmentation is critical for fiber feature extraction and further identification. In the case of fiber image taken by the optical microscope, the overlapped type...
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Chapter and Conference Paper
An Altitude Based Landslide and Debris Flow Detection Method for a Single Mountain Remote Sensing Image
The altitude information of single remote sensing image may aid in detecting the natural disaster, such as landslide or debris flow. Accordingly, in this paper, an approach based on altitude is proposed to det...
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Chapter and Conference Paper
A Novel Dynamic Character Grou** Approach Based on the Consistency Constraints
In optical character recognition, text strings are extracted from images so that it can be edited, formatted, indexed, searched, or translated. Characters should be grouped into text strings before recognition...
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Chapter and Conference Paper
Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI
Cardiac cine MRI with 3D isotropic resolution is challenging as it requires efficient data acquisition and motion management. It is proposed to use a 2D balanced SSFP (steady-state free precession) sequence ra...
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Chapter and Conference Paper
A Stroke Width Based Parameter-Free Document Binarization Method
This paper presents a parameter-free document binarization method based on text characteristics. For a given stroke width, the text and background regions in binarized object regions are estimated with morphol...
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Chapter and Conference Paper
Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning
Cerebral small vessel disease (SVD) is a common cause of ageing-associated physical and cognitive impairment. Identifying SVD is important for both clinical and research purposes but is usually dependent on ra...
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Chapter and Conference Paper
Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
Background modeling and subtraction is a fundamental research topic in computer vision. Pixel-level background model uses a Gaussian mixture model (GMM) or kernel density estimation to represent the distributi...
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Chapter and Conference Paper
Towards Unified Object Detection and Semantic Segmentation
Object detection and semantic segmentation are two strongly correlated tasks, yet typically solved separately or sequentially with substantially different techniques. Motivated by the complementary effect obse...
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Chapter and Conference Paper
Local Clustering Conformal Predictor for Imbalanced Data Classification
The recently developed Conformal Predictor (CP) can provide calibrated confidence for prediction which is out of the traditional predictors’ capacity. However, CP works for balanced data and fails in the case ...
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Chapter and Conference Paper
Distance Metric Learning-Based Conformal Predictor
In order to improve the computational efficiency of conformal predictor, distance metric learning methods were used in the algorithm. The process of learning was divided into two stages: offline learning and o...
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Chapter and Conference Paper
Object-Layout-Aware Image Retrieval for Personal Album Management
This demo shows a real-time object-layout-aware image retrieval system for personal album management. The query of the system is image’s object layout and the system retrieves images based on the layout simila...
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Chapter and Conference Paper
Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches
This paper proposes a displacement template structure for improving descriptor based face recognition approaches. With this template structure, a face is represented by a template consisting of a set of piled ...
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Chapter and Conference Paper
A Theoretical Analysis of Camera Response Functions in Image Deblurring
Motion deblurring is a long standing problem in computer vision and image processing. In most previous approaches, the blurred image is modeled as the convolution of a latent intensity image with a blur kernel...
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Chapter and Conference Paper
An Anthropomorphic Polyvinyl Alcohol Triple-Modality Brain Phantom Based on Colin27
We propose a method for the creation of an anatomically and mechanically realistic brain phantom from polyvinyl alcohol cryogel (PVA-C) for validation of image processing methods for segmentation, reconstructi...
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Chapter and Conference Paper
User Behavior Mining for On-Line GUI Adaptation
On-Line Graphics User Interface (GUI) Adaptation technology, which can predict and highlight user’s next operation in menu based graphics interface, is the key problem in next generation pervasive human comput...
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Chapter and Conference Paper
A Robust Fingerprint Matching Approach: Growing and Fusing of Local Structures
This paper proposed a robust fingerprint matching approach based on the growing and fusing of local structures. First, we obtain candidate of minutiae triangles, the smallest local structure in our approach; a...
