küszöbölési

Küszöbölési is a Hungarian term that translates to "thresholding" in English. It refers to a fundamental image processing technique used to separate pixels into distinct regions based on their intensity values. This process is often a precursor to other image analysis tasks.

The core idea of thresholding is to establish a specific intensity value, known as the threshold. Pixels in the input image are then compared to this threshold. If a pixel's intensity is above the threshold, it might be assigned one value (e.g., white or 1), while pixels below the threshold are assigned another value (e.g., black or 0). This effectively converts a grayscale image into a binary image, comprising only two distinct intensity levels.

There are several methods for determining the optimal threshold. Simple global thresholding uses a single threshold value for the entire image. Otsu's method is a more sophisticated approach that automatically finds an optimal threshold by minimizing the intra-class variance of the black and white pixels. Adaptive thresholding is another variation where the threshold value varies across different regions of the image, which is particularly useful for images with varying illumination.

Küszöbölési is widely used for tasks such as object segmentation, noise reduction, and feature extraction. By isolating specific regions of interest, it simplifies further analysis and interpretation of image data.