Circle-based Eye Center Localization (CECL)

We propose an improved eye center localization method based on the Hough transform, called Circle-based Eye Center Localization (CECL) that is simple, robust, and achieves accuracy on a par with typically more complex state-of-the-art methods. The CECL method relies on color and shape cues that distinguish the iris from other facial structures. The accuracy of the CECL method is demonstrated through a comparison with 15 state-of-the-art eye center localization methods against five error thresholds, as reported in the literature. The CECL method achieved an accuracy of 80.8% to 99.4% and ranked first for 2 of the 5 thresholds. It is concluded that the CECL method offers an attractive alternative to existing methods for automatic eye center localization.Comment: Published and presented at The 14th IAPR International Conference on Machine Vision Applications, 2015. http://www.mva-org.jp/mva2015

Automated Generation of Geometric Theorems from Images of Diagrams

We propose an approach to generate geometric theorems from electronic images of diagrams automatically. The approach makes use of techniques of Hough transform to recognize geometric objects and their labels and of numeric verification to mine basic geometric relations. Candidate propositions are generated from the retrieved information by using six strategies and geometric theorems are obtained from the candidates via algebraic computation. Experiments with a preliminary implementation illustrate the effectiveness and efficiency of the proposed approach for generating nontrivial theorems from images of diagrams. This work demonstrates the feasibility of automated discovery of profound geometric knowledge from simple image data and has potential applications in geometric knowledge management and education.Comment: 31 pages. Submitted to Annals of Mathematics and Artificial Intelligence (special issue on Geometric Reasoning

High-throughput screening of encapsulated islets using wide-field lens-free on-chip imaging

Islet microencapsulation is a promising solution to diabetes treatment, but its quality control based on manual microscopic inspection is extremely low-throughput, highly variable and laborious. This study presents a high-throughput islet-encapsulation quality screening system based on lens-free on-chip imaging with a wide field-of-view of 18.15 cm^2, which is more than 100 times larger than that of a lens-based optical microscope, enabling it to image and analyze ~8,000 microcapsules in a single frame. Custom-written image reconstruction and processing software provides the user with clinically important information, such as microcapsule count, size, intactness, and information on whether each capsule contains an islet. This high-throughput and cost-effective platform can be useful for researchers to develop better encapsulation protocols as well as perform quality control prior to transplantation

Recognition of License Plates and Optical Nerve Pattern Detection Using Hough Transform

The global technique of detection of the features is Hough transform used in image processing, computer vision and image analysis. The detection of prominent line of the object under consideration is the main purpose of the Hough transform which is carried out by the process of voting. The first part of this work is the use of Hough transform as feature vector, tested on Indian license plate system, having font of UK standard and UK standard 3D, which has ten slots for characters and numbers.So tensub images are obtained.These sub images are fed to Hough transform and Hough peaks to extract the Hough peaks information. First two Hough peaks are taken into account for the recognition purposes. The edge detection along with image rotation is also used prior to the implementation of Hough transform in order to get the edges of the gray scale image. Further, the image rotation angle is varied; the superior results are taken under consideration. The second part of this work makes the use of Hough transform and Hough peaks, for examining the optical nerve patterns of eye. An available database for RIM-one is used to serve the purpose. The optical nerve pattern is unique for every human being and remains almost unchanged throughout the life time. So the purpose is to detect the change in the pattern report the abnormality, to make automatic system so capable that they can replace the experts of that field. For this detection purpose Hough Transform and Hough Peaks are used and the fact that these nerve patterns are unique in every sense is confirmed

Factors influencing job satisfaction in the Malaysian Vocational College: herzberg two factor theory perspective

Teaching nowadays requires high commitment from teachers; the workload is heavy, the role is broad and the teachers are directly responsible for educating and developing the students. Educating and developing technical and vocational students requires quality, competent and high commitment teachers. Without commitment and motivation, they feel dissatisfied, or lack of passion in their job and the worst situation, some of them may withdraw or turnover from the profession. Teachers will achieve job satisfaction when the motivation and hygiene factors complement each other. Vocational colleges want their teachers to have the best possible performance. However, how to motivate the teachers? There is not much point in motivating them if they do not care about hygiene factors. Motivating people to work when the things they complain about disappear. When the dissatisfaction is taken away, the institutions can focus on motivating teachers effectively. Hence, the purpose of this study is to highlight the factors that affect job satisfaction in vocational colleges in Malaysia and identify the factors that affect job satisfaction. This study used Two-Factor Theory from Herzberg to decide how significant hygiene and motivator factors are related to job satisfaction among the vocational teachers and how the two factors complement each other. Among the factors identified are company policy, supervision, work conditions, salary, recognition, the work itself, personal growth, and achievement. This study also has theoretical implications for directing future developments study and offers practical suggestions to the management in the improvement of job satisfaction among vocational teachers. Job satisfaction is essential for individuals and vocational colleges. Factors affecting job satisfaction need to be given more attention to improve the quality of education and thus achieve student success. Herzberg Two-Factor Theory provides two factors that affect teachers' motivation in the workplace. Hygiene factors will influence teachers’ working less if they are not present, while motivational factors will motivate teachers to work better if they are present. Therefore, any hygiene factors must be resolved first, and then motivating factors must be boosted