Worked on performance optimization for the peak_local_max function and related feature detectors in the scikit-image repository, focusing on improving throughput for image analysis workflows. The approach involved implementing conditional execution of the ensure_spacing routine and optimizing coordinate spacing calculations to reduce unnecessary computation. Additionally, a faster C-coded distance metric was integrated to accelerate feature detection pipelines. Using both C and Python, the work targeted algorithm improvement and scientific computing challenges, resulting in faster processing of large datasets. These enhancements enabled more responsive applications and streamlined workflows for users relying on peak_local_max and its dependent detectors within scikit-image.