DIP Projects
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 New Data Transfer Method via Signal Rich Art Code Images Captured by Mobile Devices
Now a days, popularity is due to the proliferation of smart phones, capable of decoding and accessin..
A NOVEL MEDICAL IMAGE COMPRESSION USING RIPPLET TRANSFORM
ABSTRACT:• Image compression is the widely focusing research area in..
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 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..
Automatic localization and segmentation of optic disc in fundus image using morphology and level set
Optic disc (OD) localization and segmentation are important in developing systems for automated diag..
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 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..