Geological image processing of petrographic thin sections using the rotating polarizer stage

One of the fundamental problems with image processing of petrographic thin sections is that the appearance (colour I intensity) of a mineral grain will vary with the orientation of the crystal lattice to the preferred direction of the polarizing filters on a petrographic microscope. This makes it very difficult to determine grain boundaries, grain orientation and mineral species from a single captured image. To overcome this problem, the Rotating Polarizer Stage was used to replace the fixed polarizer and analyzer on a standard petrographic microscope. The Rotating Polarizer Stage rotates the polarizers while the thin section remains stationary, allowing for better data gathering possibilities. Instead of capturing a single image of a thin section, six composite data sets are created by rotating the polarizers through 900 (or 1800 if quartz c-axes measurements need to be taken) in both plane and cross polarized light. The composite data sets can be viewed as separate images and consist of the average intensity image, the maximum intensity image, the minimum intensity image, the maximum position image, the minimum position image and the gradient image. The overall strategy used by the image processing system is to gather the composite data sets, determine the grain boundaries using the gradient image, classify the different mineral species present using the minimum and maximum intensity images and then perform measurements of grain shape and, where possible, partial crystallographic orientation using the maximum intensity and maximum position images.

Generating Aesthetically Pleasing Images in a Virtual Environment using Particle Swarm Optimization

This research focuses on generating aesthetically pleasing images in virtual environments using the particle swarm optimization (PSO) algorithm. The PSO is a stochastic population based search algorithm that is inspired by the flocking behavior of birds. In this research, we implement swarms of cameras flying through a virtual world in search of an image that is aesthetically pleasing. Virtual world exploration using particle swarm optimization is considered to be a new research area and is of interest to both the scientific and artistic communities. Aesthetic rules such as rule of thirds, subject matter, colour similarity and horizon line are all analyzed together as a multi-objective problem to analyze and solve with rendered images. A new multi-objective PSO algorithm, the sum of ranks PSO, is introduced. It is empirically compared to other single-objective and multi-objective swarm algorithms. An advantage of the sum of ranks PSO is that it is useful for solving high-dimensional problems within the context of this research. Throughout many experiments, we show that our approach is capable of automatically producing images satisfying a variety of supplied aesthetic criteria.

Genetic Programming for Non-Photorealistic Rendering

This thesis focuses on developing an evolutionary art system using genetic programming. The main goal is to produce new forms of evolutionary art that filter existing images into new non-photorealistic (NPR) styles, by obtaining images that look like traditional media such as watercolor or pencil, as well as brand new effects. The approach permits GP to generate creative forms of NPR results. The GP language is extended with different techniques and methods inspired from NPR research such as colour mixing expressions, image processing filters and painting algorithm. Colour mixing is a major new contribution, as it enables many familiar and innovative NPR effects to arise. Another major innovation is that many GP functions process the canvas (rendered image), while is dynamically changing. Automatic fitness scoring uses aesthetic evaluation models and statistical analysis, and multi-objective fitness evaluation is used. Results showed a variety of NPR effects, as well as new, creative possibilities.

Empathy and Emotion Processing in Mild Head Injury and Sub-clinical Psychopathy

The current study sought to investigate the nature of empathic responding and emotion processing in persons who have experienced Mild Head Injury (MHI) and how this relationship between empathetic responding and head injury status may differ in those with higher psychopathic characteristics (i.e., subclinical psychopathy). One-hundred university students (36% reporting having a previous MHI) completed an Emotional Processing Task (EPT) using images of neutral and negative valence (IAPS, 2008) designed to evoke empathy; physiological responses were recorded. Additionally, participants completed measures of cognitive competence and various individual differences (empathy - QCAE; Reniers, 2011; Psychopathy - SRP-III, Williams, Paulhus & Hare, 2007) and demographics questionnaires. MHI was found to be associated with lower affective empathy and physiological reactivity (pulse rate) while viewing images irrespective of valence, reflecting a pattern of generalized underarousal. The empathic deficits observed correlated with the individual’s severity of injury such that the greater number of injury characteristics and symptoms endorsed by a subject, the more dampened the affective and cognitive empathy reactions to stimuli and the lower his/her physiological reactivity. Importantly, psychopathy interacted with head injury status such that the effects of psychopathy were significant only for individuals indicating a MHI. This group, i.e., MHI subjects who scored higher on psychopathy, displayed the greatest compromise in empathic responding. Interestingly, the Callous Affect component of psychopathy was found to account for the empathic and emotion processing deficits observed for individuals who report a MHI; in contrast, the Interpersonal Manipulation component emerged as a better predictor of empathic and emotion deficits observed in the No MHI group. These different patterns may indicate the involvement of different underlying processes in the manifestation of empathic deficits associated with head injury or subclinical psychopathy. It also highlights the importance of assessing for prior head injury in populations with higher psychopathic characteristics due to the possible combined/enhanced influences. The results of this study have important social implications for persons who have experienced a concussion or limited neural trauma since even subtle injury to the head may be sufficient to produce dampened emotion processing, thereby impacting one’s social interactions and engagement (i.e., at risk for social isolation or altered interpersonal success). Individuals who experience MHI in conjunction with certain personality profiles (e.g., higher psychopathic characteristics) may be particularly at risk for being less capable of empathic compassion and socially-acceptable pragmatics and, as a result, may not be responsive to another person’s emotional well-being.