to adjust photos of models and celebrities. Many of these images are presented in publications geared to the youth. As a result‚ the standard for what is socially acceptable in terms of weight and attractiveness is altered‚ especially in the likes of women. In teen-oriented publications‚ such images should not be legal because it alters realistic expectations‚ it instills negative body image and it leads to insecurity. Photoshopped images in publications alter realistic expectations. Models and celebrities
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uniformly distributed impulses. The simulation results with different images are presented in section IV to demonstrate the efficacy of the proposed algorithm. Finally‚ conclusions are given in section V. II. IMPULSE NOISE REMOVAL The impulse detection is based on the assumption that a noise pixel takes a gray value which is substantially different than the neighboring pixels in the filtering window‚ whereas noise-free regions in the image have locally smoothly varying gray levels separated by edges. In
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Effect of representation and visual culture on the female body Introduction Body image is a construct that has applications in several areas of psychology and medicine‚ including patients with neurological disorders leading to inaccurate perceptions of personal appearance‚ patients with noticeable physical deformities‚ individuals with pathological misperceptions about certain aspects of their appearance‚ as well as in eating disorder patients (Fulkerson‚ McGuire‚ Neumark Sztainer‚ Story‚ French
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which controls the levels set segmentation and it detect the retinal clots at an early stage from the image captured from fundus camera. The classifier is a probabilistic and used for the control of level set contour propagation for the detection of class clot defined‚ extracting the retinal vessels even with minute deformation due to the clots. The algorithm is tested in MATLAB on fundus images taken at various stages of progression and results which proves the effectiveness of the proposed
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subspace. The projection operation requires many floating-point multiplications and additions‚ which makes the projection process computationally expensive. To tackle this problem‚ this project proposes two simple-but-effective fast subspace learning and image projection methods‚ fast Haar transform (FHT) based principal component analysis. The advantages of this methods result from employing both the FHT for subspace learning and the integral vector for feature extraction. Experimental results on face‚iris
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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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Project Report On LICENSE PLATE RECOGNITION SYSTEM PROJECT GROUP MEMBERS A. NISHANTH J. VISHWESH NACHIKET VASANT VAIDYA NAVEEN SUKUMAR TAPPETA R. ANAND UNDER THE GUIDANCE OF PROF. S. R. SATHE DEPARTMENT OF COMPUTER SCIENCE VISVESVARAYA NATIONAL INSTITUTE OF TECHNOLOGY NAGPUR 2008-2009 DEPARTMENT OF COMPUTER SCIENCE VISVESVARAYA NATIONAL INSTITUTE OF TECHNOLOGY NAGPUR 2008-09 CERTIFICATE This Is To Certify That A. Nishanth J. Vishwesh Nachiket Vasant
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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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device that scans the document and reads the data from the marked fields. The error rate for OMR technology is less than 1%. Introduction OMR Software is a computer software application that makes OMR possible on a desktop computer by using an Image scanner to process surveys‚ tests‚ attendance sheets‚ checklists‚ and other plain-paper forms printed on a laser printer. 1.1 Method of getting data from paper to computer There are only three practical methods of getting data from a piece of
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HOW THE MEDIA HAS AFFECTED BODY IMAGE AMONG THE YOUTH What is body image? It is the subjective picture or mental image of one’s own body. People view their bodies differently that’s what makes an individual to have his or her own unique style of dressing. People pick up different styles from different places some have a negative impact while others positive. Body image includes: It takes time for some one to come up with an image that can be spotted a mile away by anybody. Some
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