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- 1Aziz, Muhammad Usman
- 1Foroughi, Homa
- 1Nan, Abhishek
- 1Nguyen, Nhat
- 1Ponnamperuma Arachchige, Ayantha Randika
- 1Rabbi, Jakaria
- 2Medical Imaging
- 2Object detection
- 1Active contour model
- 1Active contour or snake
- 1Automatic segmentation
- 1Compressed Sensing
Computing Velocity of Multiple Objects in Sequences of Images With an Application In Water-Based Bitumen Extraction ProcessDownload
Image-based analysis of bitumen extraction process can provide the oil companies with useful information that can be used to assess their performance in retrieving bitumen from the oil sands. In this analysis, several slurry images are taken during the extraction process, and then image...
Extending Differentiable Programming to include Non-differentiable Modules using Differentiable Bypass for Combining Convolutional Neural Networks and Dynamic Programming into an End-to-end Trainable FrameworkDownload
Differentiable Programming is the paradigm where different functions or modules are combined into a unified pipeline with the purpose of applying end-to-end learning or optimization. A natural impediment is the non-differentiability characteristic of many modules. This thesis proposes a new way...
Image Registration with Homography: A Refresher with Differentiable Mutual Information, Ordinary Differential Equation and Complex Matrix ExponentialDownload
This work presents a novel method of tackling the task of image registration. Our algorithm uses a differentiable form of Mutual Information implemented via a neural network called MINE. An important property of neural networks is them being differentiable, which allows them to be used as a loss...
At the core of many computer vision methods lies the question of how to represent data. Representing the data in a meaningful way, which highlights its most useful properties, can significantly affect the performance of any vision-based application. Traditional systems are heavily reliant on...
There is considerable research work going on segmentation of RGB-D clouds due its applications in tasks like scene understanding, robotics etc. The availability of inexpensive and easy to use RGB-D cameras and computational capabilities of GPUs has lead to development of numerous applications in...
Free Viewpoint Video and TV is regarded as the future of digital entertainment allowing users to navigate through multiple video streams of an event to select novel viewpoints. This new capability will be able to give to the users the illusion that they are present at the event. In this thesis,...
For the last two decades “active contour” or “snake” has been effective as an interactive image segmentation tool in a wide range of applications, especially for blob-object delineation. In the interactive snake segmentation process, a user draws a rough object outline; next, a cost function is...
Tiny Object Detection in Remote Sensing Images: End-to-End Super-Resolution and Object Detection with Deep LearningDownload
In this thesis, we study the problem of detecting small objects on low-resolution (LR) satellite imagery. Small-object detection is a challenging problem, especially from LR images. To tackle the challenge, we propose a method to generate super-resolution images from low-resolution images and...
This thesis is concerned with the ultrasonic heart image segmentation problem using parametric active contour model. Most of the existing parametric models consider only either the edge or the regional information. In this thesis, we propose a new parametric active contour model considering both...
Optical character recognition (OCR) is a widely used pattern recognition application in numerous domains. Several feature-rich commercial OCR solutions and opensource OCR solutions are available for consumers, which can provide moderate to excellent accuracy levels. These solutions are...