muokkausparametrit
Muokkausparametrit are a set of parameters used in image processing and computer vision to adjust the characteristics of an image. These parameters are typically used in algorithms that modify or enhance images, such as filtering, edge detection, and segmentation. The specific parameters can vary depending on the algorithm being used, but some common muokkausparametrit include:
Kernel size: This parameter determines the size of the filter or window used in the algorithm. A
Threshold value: This parameter is used in algorithms that involve binary thresholding, such as edge detection.
Sigma: This parameter is used in Gaussian filtering, which is a common technique for smoothing images. Sigma
Alpha and beta: These parameters are used in linear filtering, such as the weighted sum of two
Gamma: This parameter is used in gamma correction, which is a technique for adjusting the brightness and
Muokkausparametrit play a crucial role in image processing and computer vision, as they allow for fine-tuning