What is image segmentation?
image segmentation is a digital method that creates multiple layers and fragments of images from a simple image or image. This technology greatly helps computers and machines in telling one object from the other when scanning a one -dimensional image. For example, in the picture, for example, a monkey that adheres to the tree branch, the image segmentation helps to recognize and distinguish the monkey from the branch, making it easier to edit and recognize images.
In general, what the image segmentation does is to assign a value to each pixel, which are small parts that are small parts. These pixels are then grouped according to their form in areas such as color, saturation and proximity to each other. In this way, the image is then fragmented into various parts that technicians and digital editors can work without having to change the entire image, only the selected fragment. Many programs and software recognize different fragments emphasize the object in selection. Some programs even have the ability to insulate objectsT and then to insulate each part of the building.
There are four commonly used methods for image segmentation, the simplest of which is threshold technology. Threshold is usually for gray and black and white images, where the process is assigned pixels of only two possible values. Pixels recognized behind the background is assigned a "0" value, while object pixels are given "1." The color image turns into black and white when it is segmented by the technique of thresholding.
Another method of image segmentation is the technique based on the edge. This approach isolates images by distinguishing the outlines of each object and distinguishing them from the background. This technique can be very effective for images with sharp contrasts, but is not so useful for blurred images and broken outlines. Regitechnics based on the other side not only insulates every object, but also insulates each area of a particular object according to their characteristics. Many artists who useOvi digital art, this method often uses for more accurate but often more careful creatures.
The latest approach to image segmentation is the active outline model. This technique uses curved lines called "snakes" so that the outline of the object is obvious. This is more efficient for images with irregular shapes and outlines because the snakes have the ability to automatically adapt the shape of the object. It is also used for noisy and granular images that affect the liveliness and color of the primary object.