Smoothing Grayscale Histogram to Identify Three Peaks
- Login to Download
- 1 Credits
Resource Overview
First apply smoothing to the grayscale histogram to detect three peaks, then analyze these peaks to locate two valleys, ultimately obtaining two additional values that enhance analytical outcomes
Detailed Documentation
Before analyzing the grayscale histogram, we can first apply smoothing processing. After smoothing, we can identify three distinct peaks. By further analyzing these three peaks, we can also detect two valleys between them. This approach enables us to obtain two additional values, thereby enriching our analytical results.
The implementation typically involves using Gaussian or moving average filters for histogram smoothing. Peak detection algorithms (like findpeaks() in MATLAB) can identify local maxima, while valley detection involves finding local minima between adjacent peaks. The resulting peak and valley values are crucial for tasks like image thresholding, where they serve as potential threshold candidates for segmentation algorithms.- Login to Download
- 1 Credits