News-Service - Newsletter abonnieren - STEMMER IMAGING

Keeping you one step ahead


Subscribe to our updates >

Read more

Enhanced FPGA image processing development environment

7 Mar 2017

VisualApplets 3.0 from Silicon Software provides enhanced capabilities and new functionality for developing FPGA (Field Programmable Gate Array) image processing applications for machine vision. FPGAs are ideally suited for image processing tasks. Real-time FPGA parallel processing both guarantees the required throughput and reduces computing demands on the CPU in a PC or smart camera.

VisualApplets 3.0 is a 64-bit version of the hardware programming tool for FPGA processors and features extension packets and new functions. This new version includes additional operator libraries (Extension Libraries), which provide an expanded range of functions through licensed extensions. The first of these extensions are for segmentation, classification and compression. More will be released in the future for further individual image processing applications and embedded vision solutions.

The VisualApplets development environment allows hardware, software and application engineers to use FPGA processors for their image processing needs. It simplifies the development of image processing routines as no knowledge is required of circuitry, synchronisation, timings or FPGA programming.

The new version contains operators to represent loops in the data flow model, allowing image sequences and comparisons, as well as image batch processing for applications such as rolling average to be calculated with a highly effective use of resources on the FPGA. This further enhances the possibility of using a frame grabber or camera equipped with an FPGA as a high performance image processor.

In addition, the Fast Fourier Transformation FFT operator has been expanded to efficiently implement more complex filters, such as band pass filters, that have a high computing load. FFT is used in a wide range of applications, such as image analysis, image filtering, image reconstruction and image compression.