Recognizing License Plates from Digital Images

This thesis researches possibility to detect and recognize car license plates from digital images produced with Nokia N70 cameraphone's camera. Recognized plate number is then sent over the GSM-network as an SMS to an Internet database-server, from which details of the car are returned into the screen of the phone. Thesis first introduces reader to image processing operations needed in the process, then moves on to describe the structure of feedforward neural network and teaching it using backpropagation of errors. After this we get into how this system can be implemented in practice. The aim is to achieve a 50% reliability in recognizing license plates, which means that on average, on every second occasion, the license plate is recognized correctly. The second aim is to develop efficient image processing methods for S60 Platform, that could later be used in applications that utilize a phone camera. Finally, the purpose of the thesis is to find out how well is it possible to do optical character recognition using a modern mobile phone.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

Connected Attribute Filtering Based on Contour Smoothness

A new attribute measuring the contour smoothness of 2-D objects is presented in the context of morphological attribute filtering. The attribute is based on the ratio of the circularity and non-compactness, and has a maximum of 1 for a perfect circle. It decreases as the object boundary becomes irregular. Computation on hierarchical image representation structures relies on five auxiliary data members and is rapid. Contour smoothness is a suitable descriptor for detecting and discriminating man-made structures from other image features. An example is demonstrated on a very-high-resolution satellite image using connected pattern spectra and the switchboard platform

Wavelet Theory

The wavelet is a powerful mathematical tool that plays an important role in science and technology. This book looks at some of the most creative and popular applications of wavelets including biomedical signal processing, image processing, communication signal processing, Internet of Things (IoT), acoustical signal processing, financial market data analysis, energy and power management, and COVID-19 pandemic measurements and calculations. The editor’s personal interest is the application of wavelet transform to identify time domain changes on signals and corresponding frequency components and in improving power amplifier behavior

Modelling the Eddy Pattern in the harbour of Zeebrugge

Hydrodynamic

Advanced Image Acquisition, Processing Techniques and Applications

"Advanced Image Acquisition, Processing Techniques and Applications" is the first book of a series that provides image processing principles and practical software implementation on a broad range of applications. The book integrates material from leading researchers on Applied Digital Image Acquisition and Processing. An important feature of the book is its emphasis on software tools and scientific computing in order to enhance results and arrive at problem solution