Image Recognition System using Geometric Matching and Contour Detection

Image Recognition System using Geometric Matching and Contour Detection

Image recognition plays an important role in a wide range of applications from biomedical imaging and security systems to scene surveillance and many other fields. This document presents the representation of the recognition of two images through the process of geometric comparison. The geometric comparison is performed by comparing the image with a template through the processes of edge detect...

Vehicle Logo Recognition Using Image Matching and Textural Features

In recent years, automatic recognition of vehicle logos has become one of the important issues in modern cities. This is due to the unlimited increase of cars and transportation systems that make it impossible to be fully managed and monitored by human. In this research, an automatic real-time logo recognition system for moving cars is introduced based on histogram manipulation. In the proposed...

Target Detection and Recognition through Contour Matching

Contour Detection and Image Segmentation

Contour Detection and Image Segmentation by Michael Randolph Maire Doctor of Philosophy in Computer Science University of California, Berkeley Professor Jitendra Malik, Chair This thesis investigates two fundamental problems in computer vision: contour detection and image segmentation. We present new state-of-the-art algorithms for both of these tasks. Our segmentation algorithm consists of gen...

Automatic satellite image georeferencing using a contour-matching approach

Multitemporal and multisatellite studies or comparisons between satellite data and local ground measurements require nowadays precise and automatic geometric correction of satellite images. This paper presents a fully automatic geometric correction system capable of georeferencing satellite images with high accuracy. An orbital prediction model, which provides initial earth locations, is combin...