A , also known as a image, represents the of each pixel through varying shades of gray. Instead of having color channels like in RGB images, grayscale images have only one channel representing the or brightness information. The intensity of each pixel is typically quantized into a range of values, ranging from 0 (black) to 255 (white).
One common tool used to analyze the distribution of intensities in a grayscale image is the . It displays the frequency of different intensity levels in a graphical form. By examining the histogram, one can gain insights into the overall brightness distribution and identify any outliers or predominant intensities within the image.
is a technique often applied to grayscale images to segment or separate objects from the background. It involves selecting a threshold value, which acts as a dividing line between the foreground and background based on the pixel intensities. Pixels with intensities lower than the threshold are classified as the background, while pixels with intensities equal to or greater than the threshold are considered part of the foreground. This process can help isolate objects or regions of interest within the image by converting it into a binary representation, separating the desired information from the rest of the image's content.
