Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 831 for “"image analysis"”.
-
Superpixels for Hyperspectral Image Analysis
… development of algorithms for robust image analysis with such data. This thesis contributes methods that efficiently and robustly exploits superpixels for hyperspectral data. We study and quantify the efficacy of state-of-the-art superpixel generation algorithms for a variety of …
-
Image analysis of Bacillus thuringiensis
… An automatic algorithm to acquire images was developed and 5images per sample were acquired. Processing of the images involved automatically thresholding and then counting the number of bright objects in the image. Processing was thus rapid and the processing of the five images took …
-
Haze measurements through image analysis
… approaches to haze measurements are explored. Images of haze were taken in fifteen minute intervals in June, 2013. These images were analyzed to obtain image contrast, and power spectral density functions. The power spectral density functions were characterized by maximum power, full width at …
-
Intravascular Optical Coherence Tomography Image Analysis
… stenting with unprecendented details. Currently, analysis of OCT images has been typically conducted manually in an extremely time-consuming manner. The aim of this PhD dissertation is to develop advanced image processing algorithms and software to automate the task and thereby reduce the image …
-
Computer-assisted colour fundus image analysis
Research in automatic retina image analysis has become increasingly important in ophthalmology. The retina is the only location where blood vessels can be directly visualized non-invasively in vivo. Hence, it serves as a ‘window’ to some of the pathologies like glaucoma, cerebrovascular and …
-
Visual saliency computation for image analysis
… can give clues to where people will look in images, what objects are visually prominent in a scene, etc. Such algorithms could be useful in a wide range of applications in computer vision and graphics. In this thesis, we study the following visual saliency computation problems. 1) Eye …
-
Statistical Image Analysis for Image Evolution
… focused on using genetic programming to evolve images based on lightweight features extracted from a given target image. The main motivation of this thesis is research by Lombardi et al. in which an image retrieval system is developed based on lightweight statistical features of images for …
-
GHOST IMAGE ANALYSIS FOR OPTICAL SYSTEMS
Ghost images are caused by the inter-reflections of light from optical surfaces that have transmittances less than unity. Ghosts can reduce contrast, provide misleading information, and if severe can veil parts of the nominal image. This dissertation develops several methodologies to simulate ghost …
-
Statistical models in medical image analysis
Computational tools for medical image analysis help clinicians diagnose, treat, monitor changes, and plan and execute procedures more safely and effectively. Two fundamental problems in analyzing medical imagery are registration, which brings two or more datasets into correspondence, and …
-
Optimization of cDNA microarray image analysis methods
… Thus, as a major challenge in DNA microarray analysis, and especially for the accurate extraction of genes expression levels, might be considered the effective separation of “true” gene expression values from noise. Noise reduction is an essential process, which has to be incorporated into the …
-
Deep learning for automatic microscopy image analysis
… techniques allow for the creation of detailed images of cells (or nuclei) and have been widely employed for cell studies in biological research and disease diagnosis in clinic practices.Microscopy image analysis (MIA), with tasks of cell detection, cell classification, and cell counting, etc., …
-
Deep Learning-Based Comprehensive Pathology Image Analysis
… past decade have provided great tools for the analysis of histopathology images. Deep learning algorithms can aid in the routine diagnostics and have the potential to extract hidden information directly from slide images, providing valuable information for healthcare professionals. This …
-
IMAGE CAPTIONING FOR REMOTE SENSING IMAGE ANALYSIS
Image Captioning (IC) aims to generate a coherent and comprehensive textual description that summarizes the complex content of an image. It is a combination of computer vision and natural language processing techniques to encode the visual features of an image and translate them into a sentence. In …
-
Biological Image Analysis Through Deep Learning Techniques
L'abstract è presente nell'allegato / the abstract is in the attachment
-
Machine Learning Methods for Brain Image Analysis
… segmentation of brain electron microscopy (EM) images and stacks, and integrative analysis of the gene expression and synaptic connectivity in the brain. I propose to use deep learning algorithms for the 2D segmentation of EM images. I designed an automated pipeline with novel insights that was …
-
Deep learning for digitized histology image analysis
… pathologists for digitized histology slide analysis. Pre-cervical cancer is generally determined by examining the CIN which is the growth of atypical cells from the basement membrane (bottom) to the top of the epithelium. It has four grades, including: Normal, CIN1, CIN2, and CIN3. In this …
-
Statistical image analysis of photoactivated localization microscopy
… and localized to super resolution. Image was constructed based on all the fitted image to form the final super resolution image. The limitation of this technique is that you have to fix the cells, which means that the cells are dead. It also takes lots of time to obtain one super …
-
Hyperspectral image analysis for questioned historical documents.
… application of spectroscopy and hyperspectral image processing to examine historical manuscripts and text. Major activities in palaeographic and manuscript studies include the recovery of illegible or deleted text, the minute analyses of scribal hands, the identification of inks and the …
-
Image analysis of prostate cancer tissue biomarkers
… second and third studies we introduce the use of image analysis for an integrated approach that uses Time Resolved Fluorescence Imaging on PSA and AR, immunofluorescence on cytokeratin as well as brightfield microscopy on H&E and p63/AMACR. The workflow includes the following automated steps: …
-
Histopathological image analysis with connections to genomics
… the efficacy of computational histopathological image analysis to extract meaningful quantitative nuclear and cellular features from hematoxylin and eosin stained images that have meaningful connections to genomic data. Additionally, with the advent of whole slide images, significantly more data …
Page 1 of 42