Date of Award
2014
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
Committee Chair
Ramazan S. Aygun
Committee Member
Heggere S. Ranganath
Committee Member
Huaming Zhang
Subject(s)
Image processing--Digital techniques, Image analysis
Abstract
Automated image analysis of microscopic images such as protein crystallization images and cellular images is one of the important research areas. For proper analysis of the microscopic images, it is necessary to have images where all objects are in good focus. If objects in a scene (or specimen) appear at different depths with respect to the camera's focal point, objects outside the depth of field usually appear blurred. It is not possible to get all objects in focus simultaneously by changing the focal point of a lens of camera. Therefore, scientists capture a collection of images with different depths of field. Each of these images can have different objects in focus. Analyzing multiple images for the same scene can be tedious as well as time consuming. Focal stacking is a technique of creating a single focused image from a stack of images collected with different depths of field. In this paper, we introduce a novel focal stacking technique, FocusALL which is based on Harris Corner Response Measure. We also propose enhanced FocusALL for application on images collected under high resolution and varying illumination. In order to validate our approach, we perform our experiments on protein crystallization images dataset and simulated dataset. In both the subjective visual analysis on real data and objective analysis using simulated data, our results surpassed the performance of compared methods in the literature.
Recommended Citation
Sigdel, Madhu Sudan, "Focal stacking of microscopic images using modified Harris corner response measure" (2014). Theses. 71.
https://louis.uah.edu/uah-theses/71