• Devdutt Baresary

Image processing is widely used in many computer games, modern toys, defense, etc. We know that our image like, Gray scale images or Colored images both have complex data, the image pixels. When we have to make the histogram of an image the sequential algorithm waste more clock time. Use of parallel programming have a capability to reduce time taken of algorithm as compared to CPU at the same time it increase throughput. Our work is to use a the object and reconstruction it in 3D plane. The histogram thresholds value are helpful in segmenting the blocks and merge them into one resulting components but this process takes lot of time because the image that we capture have high processing time. Here we are using the concept of parallelism for decreasing the time taken. We are presenting the image histogram algorithm by using parallel processing environment using OpenCL.

OpenCL, OpenCV, gnuplot, sequential architecture, parallel architecture, GPU

"TRACKING OF RIGID BRIGHT COLOR TOY IN HETEROGENEOUS COMPUTING SYSTEMS USING OPENCL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.196-199, May 2019, Available :http://www.jetir.org/papers/JETIRCW06039.pdf

"TRACKING OF RIGID BRIGHT COLOR TOY IN HETEROGENEOUS COMPUTING SYSTEMS USING OPENCL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp196-199, May 2019, Available at : http://www.jetir.org/papers/JETIRCW06039.pdf