A parallel approach of spectrometry Raman image processing using OpenCL

Raman spectrometry is a technique that allows detecting chemical products through a number of representative peaks found in an image spectrum or numeric series of data. Raman spectrometry is a necessary technic in many fields such as physics, chemistry and Biology. The Raman spectrometry machine analyses a product and generates images as a curve. The interpretation of the curves peaks permits to detect the chemical origin of the analyzed product. Scientists do this operation manually, which makes it hard and long in terms of time. The aim of the present paper is to automate the molecule detection operation using image-processing techniques. We propose a parallel solution to detect the peaks using OpenCL on Graphics Processing Unit (GPU). GPUs allow us to make the application faster and more efficient, thanks to its multicore architecture.