Worked on stabilizing and enhancing the image preprocessing pipeline for the danforthcenter/plantcv repository, focusing on improving reliability and reducing downstream analysis errors. Addressed two critical bugs by refining binary input handling, correcting grayscale processing, and standardizing image and mask channel interpretation using OpenCV’s cv2.IMREAD_UNCHANGED. Applied robust data validation techniques to ensure that image operations such as fill holes and cropping functioned consistently across diverse input types. Updated and expanded test coverage to prevent regressions and verify channel preservation. Demonstrated proficiency in Python, computer vision, and image processing, delivering clear, maintainable fixes that improved the consistency of plant image analysis workflows.