Built an intelligent measurement system for analyzing high-resolution scientific images using computer vision and segmentation techniques. Developed automated feature detection and segmentation pipelines to identify regions of interest and extract meaningful structural data. Designed and implemented custom measurement algorithms to compute real-world dimensions from segmented regions, including calibration from pixel space to physical units. Engineered an interactive visualization interface enabling real-time user interaction, region selection, and measurement validation. Developed a flexible system architecture supporting extensible measurement logic and scalable data processing workflows. Focused on bridging raw image data with real-world physical interpretation, emphasizing accuracy, calibration, and system reliability.