Image processing technology is the technology of processing image information by computer. It mainly includes image digitization, image enhancement and restoration, image data coding, image segmentation and image recognition. Geometric graphics are composed of points, lines, surfaces and colors, which are generated by drawing programs and are a collection of drawing instructions, and are generally made by various drawing software.
Dot matrix images are composed of pixels and colors, which can be obtained by cameras, scanners, digital cameras and other equipment, and can also be generated by drawing software. The picture displayed by the image is exquisite, rich in layers and colors. Every pixel of the image is stored in the computer point by point, which takes up a lot of storage space.
Research content:
Image enhancement, the purpose of image enhancement is to improve the visual effect of the image. It is a collection of various technologies and has not yet formed a set of general theories. Commonly used image enhancement techniques include contrast processing, histogram correction, noise processing, edge enhancement, transformation processing and pseudo-color. In multimedia applications, all kinds of images are mainly enhanced, and all kinds of image processing software generally support image enhancement technology.
Image restoration, the purpose of image restoration is to keep the original image and correct the degradation and distortion of the image in the process of formation, transmission, storage, recording and display. Image restoration should first establish an image degradation model, and then restore the image according to the reverse process of its fading.
Image recognition, also known as pattern recognition, is to extract the features of the image, and then classify the image according to the geometric and texture features of the figure, and analyze the structure of the whole image. Usually, images must be preprocessed before recognition, including filtering noise and interference, improving contrast, enhancing edges, geometric correction and so on. Image recognition has a wide range of applications, such as industrial automatic control system, fingerprint recognition system and medical cancer cell recognition.