“A Picture (an image) is worth thousand words” is a very much
philosophical as well as a deep theory rooted fact. Imaging is a
niche engineering domain covering image sensors, acquisition
hardware and, image processing algorithms. Specialized needs of
image data handling leads to formation of imaging systems (or
sub-systems) in technology products. Agiliad offers spectrum of
technology services to address imaging needs in medical and
industrial automation domains, which covers wide range of
technology as well as algorithmic aspects.
Richness of imaging information may vary with sub-domains
like 2D imaging, Video imaging, 3D (surface or depth) imaging,
volumetric imaging such as tomography, and multi-dimensional
imaging such as 4-D (spatiotemporal) or n-D imaging (such as
multispectral, hyper-spectral). Furthermore, some of the applied
business domains for imaging are consumer electronics, medical
imaging, robotics, surveillance, and, industrial automation.
Increasing image quality and intelligence of image processing
algorithms along with reducing device footprints has created an
exciting opportunity for innovative high quality products. This
has been further complemented by rapid progress in display and
user interface technologies. Many of the recent innovative product
ideas like driverless cars, depth imaging camera (like Microsoft
Kinect), high speed tomography systems, and more are enabled by
imaging as a primary technology element.
For an
accelerated innovation and product development, off the shelf
reusable imaging components and platform play a crucial role. At
Agiliad, we have conceptualized an engineering service oriented
imaging framework to provide faster prototyping and product
development services.
Primary building blocks of Agiliad Imaging Framework are,
- Imaging acquisition - To address wide
variety of image sensors interfaces
- Image reconstruction - To form images
from acquired raw data
- Image enhancement - To Improving
quality of reconstructed images
- Visualization - Different techniques
for visualizing variety of images (2D, 3D, Volume)
- Object detection - Automated
detection of objects or features from image data
- Object classification
- Advanced algorithms to distinguish between
different objects or features