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A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling
Robust organ segmentation is a prerequisitefor computer-aided diagnosis, quantitative imaging anal..
A Micro-GA Embedded PSO Feature SelectionApproach to Intelligent Facial Emotion Recognition
A facial expression recognition system using evolutionary particle swarm optimization (PSO)-..
A Novel Approach to Segment Skin Lesions in Dermoscopic Images Based on a Deformable Model
Skin cancer is the&n..
A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval
With the emergence of huge volumes of highresolution remote sensing images produced by all sorts o..
A-Micro-GA-Embedded-PSO-Feature-SelectionApproach-to-Intelligent-Facial-Emotion-Recognition
Mammographic risk scoring has commonly been automated by extracting a set of handcrafted fea..
Action Recognition in Still Images With Minimum Annotation Efforts
We focus on the problem of still image-based human action recognition, which essentially involves ..
An Efficient SVD-Based Method for Image Denoising
We will demonstrate three techniques of image de-noising through Singular Value Decomposition (SVD)..
An equalized global graph model-based approach for multi-camera object tracking
Non-overlapping multi-camera visual object track-ing typically consists of two steps: single camer..
Analyzing the Effect of JPEG Compression on Local Variance of Image Intensity
The local variance of image intensity is a typical measure of image smoothness. It has been extens..
Boosting 3D LBP-Based Face Recognition byFusing Shape and Texture Descriptors on the Mesh
A novel approach for fusing shape and texture local binary patterns (LBPs) on a mesh for 3D face r..
Brain Metastases Detection Methods in Magnetic Resonance Imaging
Early detection of brain metastases increases survival in patients with cancer, since image-guided..
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Since the MR technique is becoming more popular due to its non-invasive principle, the imaging of ..
Combining Generative and Discriminative Representation Learning for Lung CT Analysis with Convolutional Restricted Boltzmann
The choice of features greatly influences the performance of a tissue classification system. Despi..
DehazeNet: An End-to-End System for Single Image Haze Removal
Single image haze removal is a challenging ill-posed problem. Existing methods use various constra..
Detecting Salient Objects via Color and Texture Compactness Hypotheses
The object-level saliency detectionhas attracted much research atte ntion, due to its usefulness i..