Thresholding Techniques

Thresholding techniques are methods used in image processing to separate objects from the background. They work by setting a specific intensity value (threshold); pixels brighter than this value are classified as part of the object, while darker pixels are considered background. This simplifies images, making it easier to analyze shapes, measure features, or detect items. Different methods include global thresholding, which uses a single threshold for the entire image, and adaptive thresholding, which adjusts thresholds for different regions to handle variations in lighting. Overall, these techniques help extract meaningful information from images efficiently.