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Non-overlapping tiled images of complete transverse muscle sections were obtained using Cartograph software (Microvision, France) and a Nikon ECLIPSE E600 microscope with a Sony 3CCD DSP camera system using a 4× magnification objective.
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The board also includes a DSP and camera and microphone inputs, making it far more powerful for the robotics hobbyist and engineer.
Finally, algorithm was implemented on the camera DSP, removing PC from the system, which brought significant performance improvements in algorithm execution with the goal of achieving the real-time execution.
For example, the yellow marker lines displayed during the football game are not really on the field; a DSP adds the lines after the cameras shoot the picture but before it is broadcast.
The internal view of Figure 7b shows the internal mounting of two analogue output CCD type cameras (camera: Sony 1/3″HQ1 CCD / X-Vision IXC1HQDNE DSP) on the windshield using a dual camera suction mount.
Digital camera was later replaced with DSP-based camera for image acquisition and algorithm execution which brought significant performance improvements.
In this paper we describe the design and implementation of an efficient and compact image processing library for a digital still camera based on Siemens TriCore microcontroller-DSP processor.
The deformation process is captured with a digital camera and by digital speckle photography (DSP) in-plane pointwise displacement fields are obtained.
Moreover, the strain in the sample is measured using Digital Speckle Photographs (DSP) which is captured via high-speed video camera.
In related work, Chattopadhyay and Boult present PrivacyCam [8], a camera system based on a Blackfin DSP clocked at 400 MHz, 32 MB of SDRAM and an Omnivision OV7660 color CMOS sensor.
The captured image quality proves our suggestion could be a good candidate for two camera interface solutions without using complicated DSPs or FPGAs.
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