'Canny edge' diaporamas de présentation

Introduction

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Introduction

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Survey of Gaussian-Based Edge-Detection Methods Mitra Basu

Survey of Gaussian-Based Edge-Detection Methods Mitra Basu. Presented by: Ali Agha 23Feb2009. Motivation. What is the edge detection? And Why we need it? Edge detection is the process which detects the presence and locations of intensity transitions. drastically reduces the amount of data

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Medical Imaging & Visualization

Medical Imaging & Visualization. A Presentation by Shruti Vangari Under the guidance of Dr. Xiao. Outline of this project. Aim : To help doctors diagnose cancer faster Data used : Collection of brain samples of patients detected with cancer

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Edge detection

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Edge detection

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Edge detection

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Bone reconstruction from stereo X-ray images

Bone reconstruction from stereo X-ray images. ??? ???? ?. Reconstruction. ? ??? ? ?. ? ? CT ? ?? ?? CT ? ??? ?? ?? ??? ?? ?? ? ?? X-ray ?????? ?? ??? ????? ??? X-ray ?????? ?? ??? ??. Overview. Statistical Shape Model. Data fit term. Optimizer. Overview. Mahalanobis Distance.

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Technical seminar on CLASSIFICATION OF RICE GRANULES USING IMAGE PROCESSING AND NEURAL NETWORK

Technical seminar on CLASSIFICATION OF RICE GRANULES USING IMAGE PROCESSING AND NEURAL NETWORK . Presented by: Kamakhaya Argulewar Guided by: Prof. Shweta V. Jain. Overview . Introduction Papers Read Flow Diagram of Classification and Grading Techniques Technique for classification

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Quiz Preparation

Quiz Preparation. Quiz 4 sheet provided. Fill in your Name, etc. Date is 9/11/12 Answer questions during lecture. Lego Car Project. Wirelessly driven Lego car Left and right channels/motors for steering Goal is to navigate and finish course as quickly as possible

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CSSE463: Image Recognition Day 6

CSSE463: Image Recognition Day 6. Yesterday: Local, global, and point operators use different context, but all operate on entire image, changing one pixel at a time!! Lab due tomorrow 3:25 pm. Fruit-finder deadline Friday , 11:59pm Please leave time for a solid write-up

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Vehicle Detection in Aerial Surveillance Using Dynamic Bayesian Networks

Vehicle Detection in Aerial Surveillance Using Dynamic Bayesian Networks. Hsu-Yung Cheng , Member, IEEE , Chih -Chia Weng , and Yi-Ying Chen. Outline. Introduction Proposed vehicle detection framework Experimental Results Conclusion . Introduction.

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Edge Based Segmentation

Edge Based Segmentation. Xinyu Chang. Outline. Introduction Canny Edge detector Edge Relaxation Border Tracing. Introduction.

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Unsupervised Automation of Photographic Composition Rules

Serene Banerjee and Brian L. Evans http://www.ece.utexas.edu/~bevans/projects/dsc/index.html. Unsupervised Automation of Photographic Composition Rules. Computer Engineering Area Dept. of Electrical and Computer Engineering The University of Texas at Austin. Main subject cropped.

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HUMAN FACE DETECTION

PRESENTED BY: ANIL MANDAL(508) PAWAL ADHIKARI(522) PRADIP G.C(523) SABIN KISHWOR MAINALI(534). HUMAN FACE DETECTION. OBJECTIVES AND GOALS:. Detect Human face from the image inputted Multiple face detection in single image. PROJECT OVERVIEW . Based on Skin Color directed face detection.

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