Image thresholding is one of the most common image segmentation functions introduced. Thresholding results in a monochrome image. By means of thresholding one can enhance certain areas of an image. Typical usages of thresholding include.
- Enhancing scanned characters of a document for OCR capabilities.
- Enhancing finger prints.
- Hiding/concealing areas of unimportance in an image.
- Boundary detection for Mammogram images in medical scans.
After thresholding since images are divided into two separate blobs of black and white distinguishing commonalities of areas with similar illuminance.
Example of thresholding an image in different threshold levels.
|Threshold Level||Source Image||Thresholded Image|
|Threshold Level : 92|
|Threshold Level : 128|