Godfrey Hounsfield Quotes

The computer can do a much better job than the human eye, as it is much more systematic in analysing tissues.

During the development of the whole-body CT scanner, it became clear that the availability of an accurate cross-sectional picture of the body, the CT 'slice,' would have an important effect on the precision and implementation of radiotherapy treatment planning.

One thing that humans still do better than computers is recognize images.

Computer vision and machine learning have really started to take off, but for most people, the whole idea of what is a computer seeing when it's looking at an image is relatively obscure.

Traditionally, images have functioned as representations of something in the world, but we are quickly approaching the point where vast majority of images are produced for other machines, and no human being will ever see them.

We are splintering what was the 'camera' and its functionality - lens, sensors, and processing - into distinct parts, but, instead of lenses and shutters, software and algorithms are becoming the driving force.

My system uses the speed of components in cameras and cell phones to get four inches of depth through the brain.

Take a picture of this so Isaac can see it when they invent robot eyes.

The research on vision machines was mainly conducted at the Stanford Research Institute in the US. So, we can say that the events that took place in the Kosovo War were a total confirmation of the thesis of The Vision Machine.

Yes, we are a producer of cameras, but we understand that at the end of the day, you have to make photos in software. A lot of companies focus on the camera side, and a lot are on the software side. There's a chasm between the two.

As with sound, images are subjective. You and I may not see the same color red as red, but we will probably agree that the image on the screen is a digital image or film image, based on contrast, bit depth, and refresh rate.

I also do my own processing, so it means a big commitment in lab time.

Digital imaging is as much about chemistry as it is about semiconductors.

There are a lot of companies - not just Sony and Kodak - that have spent a lot of money trying to make the quality of the digital images comparable with film. But when you're sending these things over the Internet, they don't have to be high quality.

Light-field photography is a transformational technology that needs a transformational product to introduce it. For the first time, we have a light-field camera that's going to be for everyone - not something in a huge room in a research facility.

Yes, iD is a machine vision and sensor browser for the physical world. That's what we have been working on with Coca-Cola, Verizon, Bank of America and Disney to launch content when an image is recognised.

In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators.

Moreover, photography has made it possible to fix these images and now provides us with a permanent record of each observed spectrum, which can be measured out at any time.

Light field photography unleashes the power of the light, to forever change how everyone takes and experiences pictures.

I've been working with photography for many years.

Computer photography won't be photography as we know it. I think photography will always be chemical.

All images generated by imaging technology are viewed in a walled-off location not visible to the public. The officer assisting the passenger never sees the image, and the officer viewing the image never interacts with the passenger. The imaging technology that we use cannot store, export, print or transmit images.

In essence, we're imaging the same cell for anywhere from forty to a hundred thousand times to create one of the movies that we see.

How do you photograph data?

When I look at a digitally acquired and projected image, it looks inferior against an original negative anamorphic print or an IMAX one.