Image processing

Decoding the dichotomy: Traditional image processing versus deep learning

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This paper will analyse the benefits and drawbacks of traditional image processing and deep learning. It aims to provide clarity on the subject of deep learning, which can then help data scientists and industries choose the most suitable method depending on the task.

Adding intelligence to machine vision

Following speaking at the AIA business conference in Orlando, Florida at the end of January, Jon Sobel, CEO and co-founder of Sight Machine, argues that with modern data analytics machine vision can be much more than just inspection

All part of the process

The British Machine Vision Conference is due take place at the beginning of September, an event with machine vision in the title - but, confusingly, focusing on academic algorithm development and computer vision. Greg Blackman asks what industrial image processing can learn from academia

Programming with ease

Greg Blackman looks at the options for high-throughput image processing, including FPGAs and multicore processors, and finds out what unites development in all software packages is ease of use

Programming power

Greg Blackman on the developments taking place within image processing libraries

Soft progress

Stephen Mounsey looks at trends in the development of image processing software and libraries, and finds that usability is becoming increasingly important here

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