used in underwater archaeology. The first was acoustic imaging‚ which uses sound waves to map the sea floor by the reflections. This method is useful where the area is too dark to use video cameras. Due to recent advancements in technology the images that this method can reproduce are the same quality as a photograph. The frequencies that are used in the archaeological surveys range from 10kHz to 1Mhz. Acoustic imaging can cover a width from several kilometers down to 10 meters. There is a
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DIGITAL SIGNAL – IMAGE SIGNAL PROCESSING LAB MANUAL PREPARED BY: B.C.SURVE/SHARATH B. ASSISTANT PROFESSOR CONTENTS: 1)Experiment 1: INTRODUCTION WITH MATLAB SOFTWARE 2) Experiment 2: GENERATION OF BASIC CONTINUES SIGNALS / BASIC DISCRETE SIGNALS 3) Experiment 3: IMPULSE RESPONSE OF AN LTI SYSTEM 4) Experiment 4: CONVOLUTION OF TWO SEQUENCE AND PROPERTIES OF CONVOLUTION 5) Experiment 5: CORRELATION- AUTOCORRELATION 6) Experiment 6: read and display
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CONTENT BASED IMAGE RETRIEVAL USING COLOUR AND TEXTURE FEATURE EXTRACTION Abstract We propose a content-based image retrieval method based on an efficient combination of multiresolution color and texture features. As its color features‚ color auto correlograms of the hue and saturation component images in HSV color space are used. As its texture features‚ BDIP and BVLC moments of the value component image are adopted. The color and texture features are extracted in multiresolution
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person’s face from a given image that consists of a head-and-shoulders view of the person and a complex background scene. The method involves a fast‚ reliable‚ and effective algorithm that exploits the spatial distribution characteristics of human skin color. To fulfill this aim‚ the following objectives are carried out: 1. Implement different types of image segmentations. 2. A universal skin-color map is derived and used on the chrominance component of the input image to detect pixels with skin-color
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Cropping a Photo The following procedure is assisting in cropping a photo‚ the software program that will be used is Microsoft Photo Editor. Cropping photos will help remove the unnecessary space in a photo‚ or if there is something that is not wanted in the photo such as a tree or a car. Cropping photos will enhance the photo and help emphasize what the main part of the photo is. Retrieve the Photo The first part in cropping a photo is deciding the photo that you would like to change. There
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WIRELESS FINGERPRINT BASED STUDENT ATTENDANCE SYSTEM A thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Technology in Electrical Engineering by Debidutt Acharya(10602015) and Arun Kumar Mishra(10602061) Under the guidance of Prof. Susmita Das Department of Electrical Engineering National Institute of Technology Rourkela-769008 2010 WIRELESS FINGERPRINT BASED STUDENT ATTENDANCE SYSTEM A thesis submitted in partial fulfillment of the requirements
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class Template 3D point class Template size (width‚ height) class Template short vector class Template small matrix class 4-element vector Rectangle Integer value range 2D or multi-dimensional dense array (can be used to store matrices‚ images‚ histograms‚ feature descriptors‚ voxel volumes etc.) Multi-dimensional sparse array Template smart pointer class Mat dyImage(image.size()‚ image.type()); for(int y = 1; y < image.rows-1; y++) { Vec3b* prevRow = image.ptr(y-1); Vec3b* nextRow =
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or producers. And there is no foreseeable likelihood that they would be capable to imitate this feature even within a pretty long time. The recognition system is composed of three parts. The captured image is first preprocessed by reducing data dimensionalities and extracting its features by using image processing toolbox in MATLAB. According to the HSV (Hue‚ Saturation‚ Value) color space‚ the work of color feature extraction is finished. The second one is recognition in which the core is neural
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A Query-by-Example Content-Based Image Retrieval System of Non-Melanoma Skin Lesions Lucia Ballerini1 ‚ Xiang Li1 ‚ Robert B. Fisher1 ‚ and Jonathan Rees2 School of Informatics‚ University of Edinburgh‚ UK x.li-29@sms.ed.ac.uk‚ lucia.ballerini@ed.ac.uk‚ rbf@inf.ed.ac.uk 2 Dermatology‚ University of Edinburgh‚ UK jonathan.rees@ed.ac.uk 1 Abstract. This paper proposes a content-based image retrieval system for skin lesion images as a diagnostic aid. The aim is to support decision making by retrieving
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2005 Tutorial Image Registration: A Survey and Recent Advances Presented by Barbara Zitov´ a Jan Flusser ˇ Filip Sroubek Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod vod´renskou vˇˇ´ 4‚ 182 08 Prague 8‚ Czech Republic a ezı E-mail: {zitova‚flusser‚sroubekf}@utia.cas.cz This is complementary material for ICIP’05 tutorial ”Image Registration: A Survey and Recent Advances”. It aims to present a review of recent as well as classic image registration
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