page_title: Prewitt operator
section_title: Example
hierarchical_section_title: Prewitt operator / Example
caption_attribution_description: English: Grayscale image of a brick wall &amp; bike rack convolved with Prewitt operator
context_page_description: The Prewitt operator is used in image processing, particularly within edge detection algorithms. Technically, it is a discrete differentiation operator, computing an approximation of the gradient of the image intensity function. At each point in the image, the result of the Prewitt operator is either the corresponding gradient vector or the norm of this vector. The Prewitt operator is based on convolving the image with a small, separable, and integer valued filter in horizontal and vertical directions and is therefore relatively inexpensive in terms of computations like Sobel and Kayyali operators. On the other hand, the gradient approximation which it produces is relatively crude, in particular for high frequency variations in the image. The Prewitt operator was developed by Judith M. S. Prewitt.
caption: Gradient with Prewitt operator of grayscale image of a brick wall & a bike rack
exif: {}