binariseerimiseks

Binariseerimiseks is a Finnish term that translates to "for binarization" or "to binarize." Binarization is a process in image processing and computer science where a continuous or grayscale image is converted into a binary image. A binary image contains only two distinct pixel values, typically black and white, representing pixels that are either below or above a certain threshold.

This threshold is a crucial parameter in the binarization process. Pixels with intensity values above the threshold are assigned one value (e.g., white), while those with values below or equal to the threshold are assigned the other value (e.g., black). The selection of an appropriate threshold can significantly impact the quality of the resulting binary image and the effectiveness of subsequent analysis.

There are various methods for determining the threshold. Simple global thresholding uses a single threshold value for the entire image. More advanced techniques like Otsu's method or adaptive thresholding calculate thresholds based on image characteristics, such as pixel intensity distributions or local image neighborhoods.

Binarization is a fundamental step in many image analysis tasks. It simplifies image data, making it easier to extract features, perform object recognition, or prepare images for optical character recognition (OCR). The primary goal is to separate foreground objects from the background, reducing noise and complexity.