MATLAB Face Detection Code with Adaptive Thresholding

Application Background This face detection program was developed to address specific computer vision requirements. The implementation includes pre-loaded test images that users can easily replace according to their specific needs. The core algorithm achieves high detection rates through advanced image processing techniques. Key Technical Features The system maintains robust performance even in challenging conditions such as blurred environments by incorporating adaptive filtering mechanisms. The detection threshold parameters are fully customizable, allowing users to fine-tune sensitivity levels for optimal results across different image qualities. Implementation Details The code utilizes MATLAB's Computer Vision System Toolbox functions, primarily employing Viola-Jones algorithm through the vision.CascadeObjectDetector function. Key parameters like 'MergeThreshold' and 'ScaleFactor' can be programmatically adjusted to balance detection accuracy and processing speed. The implementation includes preprocessing steps for handling image noise and varying lighting conditions, ensuring reliable face detection across diverse scenarios.