Gesture Name ID A.K.M Ahsanuzzaman 11-18642-1 Saikat Acharjee 11-18028-1 Pulak Barua 11-18778-1 Partha Pratim Barua 11-18070-1 Md Nishadul Hoque Shah 11-18774-1 Contents Introduction HCI Methods Gesture Recognition Wand Filter Module Pixel Filters Finding Coordinates Gesture Generator Module Gesture to Command Conclusion Introduction With the development of technology‚ television has evolved to a great extent with its high definition audio‚ video and 3d technology. The main
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this problem of noise‚ we need to improve the overall system quality. We can implement various image denoising techniques to reduce the noise. We are doing image denoising in spatial domain here. In spatial domain‚ operations are performed on the pixels itself. We have implemented three different kinds of filter: median filter‚ averaging filter and wiener filter to denoise the image and then have analyzed the results. Also we have implemented 2-D Gaborfilter for feature extractions of an image.
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smoothing effect can be achieved by using spatial filters (spatial masks‚ kernels‚ templates‚ or windows). We discussed that a spatial filter consists of a neighborhood and a pre-defined operation performed on the image pixels defining the neighborhood. The result of filtering – a new pixel with coordinated of the neighborhood’s center and the value defined by the operation. g y p If the operation is linear‚ the filter is said to be a linear spatial filter. Spring 2008 ELEN 4304/5365 DIP 2
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with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to perform fuzzy smoothing by weighting the contributions of neighboring pixel values. Both stages are based on fuzzy rules which make use of membership functions. The filter can be applied iteratively to effectively reduce heavy noise. In particular‚ the shape of the membership functions is adapted according to the remaining
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and a logic circuit for digital temperature value generation. Figure 1. Omron D6T thermal sensor structure Until now D6T has only 2 types which are D6T-44L-06 and D6T-8L-06. The main differences are D6T-44L-06 has 16 pixel elements while D6T-8L-06 has only 8 pixel elements which means they also have different field of view. In this thesis work‚ we use D6T-44L-06 for thermal map generation. Figure 2. Types of D6T thermal sensors Operating Principle and features The radiated
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The breaking of water stream under the light of total internal reflection of laser Jiho Yang Colegio Retamar Abstract In this paper‚ we report the circumstances that produce breaking of water stream. The usual way to visualize this is by using a strobe‚ as how they do in Science museums. Experimental methodology that we have used to investigate this topic is based on an experiment carried out by two scientists in 1850 that contributed to studies about total reflections. By using a laser
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the points or part of the screen where the picture is to be drawn. The Raster scan system is a scanning technique in which the electrons sweep from top to bottom and from left to right. The intensity is turned on or off to light and unlight the pixel. 5. List out the merits and demerits of Penetration techniques? The merits and demerits of the Penetration techniques are as follows • It is an inexpensive technique • It has only four colors • The quality of the picture is not good when it is
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EMBEDDED SYSTEM PRESENTED BY‚ G.GURU RAJ‚ EEE‚ 3rd year‚ g.gururaj2812@gmail.com. ARUN RAJ‚ EEE‚ 3rd year‚ M.KUMARASAMY COLLEGE OF ENGINEERING. KARUR EXTENDED SECURITY FOR BANKING SECTOR USING EMBEDDED SYSTEM The world of today has high become a place with very high security but there are hackers (code breakers) and thieves who are trying to bring down this security system. So we need keep updating our security system
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Overview Model: Olympus E-PL1 /Nikon D5100 Camera Format: 13.1 million pixel ultra-compact digital camera‚ interchangeable lens type digital camera/16.2 megapixel‚ SLR camera Release Date: about Feb 2010/about April 2011 Factory pricing: --- Durable characteristics: --- Image Size IMAGE SPECIFICATIONS Photosensitive element pixel: 13.1 million pixels/ 16.2 million pixels Effective pixels: 12.3 million pixels/ 16.2 million pixels Sensor size: 17.3 x 13.0mm /23.1x 15.4 mm Sensor Type: CMOS/ CMOS
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4. Computer Hardware Image Gallery Graphics cards take data from the CPU and turn it into pictures. See more computer hardware pictures. The images you see on your monitor are made of tiny dots called pixels. At most common resolution settings‚ a screen displays over a million pixels‚ and the computer has to decide what to do with every one in order to create an image. To do this‚ it needs a translator -- something to take binary data from the CPU and turn it into a picture you can see. Unless
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