image processing algorithm
1Image processing engine — The image processing engine, or image processor, is an important component of a digital camera and plays a vital role in creating the digital image.The image processing engine must perform a complex range of tasks.The photodiodes employed in an… …
2Segmentation (image processing) — In computer vision, segmentation refers to the process of partitioning a digital image into multiple regions (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more… …
3Thresholding (image processing) — Thresholding is the simplest method of image segmentation. From a grayscale image, thresholding can be used to create binary images .During the thresholding process, individual pixels in an image are marked as “object” pixels if their value is… …
4Quantization (image processing) — Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum value. When the number of discrete symbols in a given stream is reduced, the stream becomes more… …
5Drizzle (image processing) — Drizzle (or DRIZZLE) is a digital image processing method for the linear reconstruction of undersampled images. It is normally used for the combination of astronomical images and was originally developed for the Hubble Deep Field observations… …
6Image noise — Noise clearly visible in an image from a digital camera Image noise is random (not present in the object imaged) variation of brightness or color information in images, and is usually an aspect of electronic noise. It can be produced by the… …
7Image editing — For the uses, cultural impact, and ethical concerns of image editing, see Photo manipulation. For the process of culling and archiving images, see Digital asset management. A colorized version of originally black and white photo, colorized using… …
8Image segment — In computer vision segmentation of an image is the division of a given (digital) image into contiguous regions. In current computer vision algorithms the similarity of image parts is usually defined in terms of color and texture. The goal to… …
9Digital image correlation — and Tracking (DIC/DDIT) is an optical method that employs tracking image registration techniques for accurate 2D and 3D measurements of changes in images. This is often used to measure deformation (engineering), displacement, and strain, but it… …
10Marr–Hildreth algorithm — In computer vision, the Marr–Hildreth algorithm is a method of detecting edges in digital images, that is continuous curves where there are strong and rapid variations in image brightness. The Marr–Hildreth edge detection method is simple and… …
