Eye Region Detection via Horizontal and Vertical Gray Projection

This program utilizes horizontal and vertical gray projection algorithms to detect and extract eye regions from grayscale facial images. The implementation involves first performing horizontal gray projection by calculating the sum of pixel intensity values for each row, which helps identify the vertical positions (rows) containing the eyes based on characteristic intensity patterns. Following this, vertical gray projection is executed by computing the intensity sum for each column, enabling precise determination of the horizontal positions (columns) where the eyes are located. The algorithm then combines these positional coordinates to draw bounding boxes around the detected eye regions. Key functions typically include calculating projection profiles, finding local minima/maxima in projection curves, and applying thresholding techniques to isolate eye regions accurately. The primary objective of this program is to extract eye regions from grayscale facial images for subsequent advanced analysis and processing in computer vision applications.