RGB-Based Computer Vision and Spectral Characterization of Semiconductor Samples ## Project Overview I am developing a…

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RGB-Based Computer Vision and Spectral Characterization of Semiconductor Samples ## Project Overview I am developing a Python pipeline to investigate whether standard RGB photographs can predict useful spectral properties of semiconductor samples. My dataset contains approximately 62 RGB images of sample plates, with repeated photographs of some physical plates, and associated diffuse reflectance spectra. Each plate contains 48 samples. Correctly mapping images, sample IDs, and reference spectra is essential. ## Scope of Work **1. Image Processing and ROI Extraction** - Detect and crop plates, preserving existing working code wherever possible. - Reliably extract 48 sample regions and handle both 6 × 8 and 8 × 6 layouts. - Improve orientation detection and consistent sampl...

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