This research project aims to solve the said problems. The volume of the egg was measured using image processing method. Water displacement method was also performed as reference to the accuracy of the volume computed in image processing method. The proponents had a difficulty in integrating the two web cameras as only one device handle is returned during run time which means that the same image is captured by the two web cameras. As a solution for this problem‚ another class was created for
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1. Data Processing- is any process that a computer program does to enter data and‚ summarize‚ analyze or otherwise convert data into usable information. The process may be automated and run on a computer. It involves recording‚ analyzing‚ sorting‚ summarizing‚ calculating‚ disseminating and storing data. Because data are most useful when well-presented and actually informative‚ data-processing systems are often referred to as information systems. Nevertheless‚ the terms are roughly synonymous‚ performing
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Mohamed Kamel behavioral categories. Common physiological biometrics include face‚ eye (retina or iris)‚ finger (fingertip‚ thumb‚ finger length or pattern)‚ palm (print or topography)‚ and geometry‚ back of the hand vein pattern or thermal images. Behavioral biometrics includes voiceprints‚ handwritten signatures‚ and keystroke/signature dynamics. Personal verification has become an important and highdemand technique for security access systems in the last decade. Shape of the subcutaneous
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To investigate the levels of processing By: yoloswag Year 12 psychology Introduction: The objective of this research is to understand the levels of processing memory. Memory storage doesn’t involve a separate number of memories; it is an endless measurement when memory is encoded effortlessly so that it can be retrieved‚ the deeper the process of information‚ the higher the chance of it being retrieved. Craik and Lockhart (1972) suggested that stimulus inputs
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signal processing‚microprocessor systems‚ digital systems‚ linear integrated circuits‚ computer architecture and microcontrollers‚ Introduction to VLSI design ‚ and othersub-areas of electrical and computer engineering. The lab classes have provided me an understanding of the concepts to a certain extent. I would further like to improve and add to my knowledge. In the final year of my undergraduate study I teamed up with 2 people and devised a project based on image processing “EARLY DETECTION
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Saturday January 12‚ 2013 Program Graduate Colloquium on Computer Sciences Fall 2012 National University of Computer and Emerging Sciences (FAST-NU) Track 1(Room New-3): Artificial Intelligence and Language Processing Session I (9:55-11:30) Session Chair: Dr. Qaiser Durrani 1. Feature Subset Selection Based on Genetic Algorithm and Ant Colony Optimization [Thesis I‚ 30min] Layca Sarwer‚ Kashif Zafar 2. Gesture Recognition With One Shot Learning [Thesis I‚ 30min] Anham Liaqat‚ Mehreen Saeed
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EEE 311: Digital Signal Processing-I Course Teacher: Dr. Newaz Md. Syfur Rahim Associated Professor‚ Dept of EEE‚ BUET‚ Dhaka 1000. Syllabus: As mentioned in your course calendar Reference Books: 1. Digital Signal Processing: Principles‚ Algorithms‚ and Applications – John G. Proakis 2. Digital Signal Processing: A Practical Approach – Emmanuel C. Ifeachor 3. Schaum’s Outlines of Digital Signal Processing 4. Modern Digital Signal Processing – Roberto Cristi Course
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Student Attendance System Based On Fingerprint Recognition and One-to-Many Matching A thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Computer Application in Computer Science by Sachin (Roll no. 107cs016) and Arun Sharma (Roll no. 107cs015) Under the guidance of : Prof. R.C. Tripathi Department of Computer Science and Engineering National Institute of Technology Rourkela Rourkela-769 008‚ Orissa‚ India 2 . Dedicated to Our
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248 CHAPTER 7 Image Enhancement and Analysis FIGURE 7.3–21 Region grown from seed location (328‚ 341) with threshold 0.2. out the flower. (Performed using MATLAB Central routine regiongrowing.m provided by Dirk-Jan Kroon.) Several seeds can be used in region growing to segment multiple objects or parts of one object. Significant interaction may be required to get the desired results. As with clustering using K-means‚ pixel values can be replaced by textures on small blocks to get a segmentation
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OPTICAL FLOW-BASED VEHICLE DETECTION AND TRACKING By Ong Hen Ching A REPORT SUBMITTED TO University Tunku Abdul Rahman in partial fulfilment of the requirements for the degree of BACHELOR OF INFORMATION SYSTEMS (HONS) INFORMATION SYSTEMS ENGINEERING Faculty of Information and Communication Technology (Perak Campus) May 2010 DECLARATION OF ORIGINALITY I declare that this report entitled “OPTICAL FLOW-BASED VEHICLE DETECTION AND TRACKING” is my own work except as cited
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