2. Image enhancement is the process of processing an image to make its result more suitable for a specific application than the original image. ? Specific? This word is very important because the enhancement technology is problem-oriented. For example, a very useful method to enhance X-ray images is not necessarily a good method to enhance satellite images obtained in the infrared band of electromagnetic spectrum. There is no general theory for image enhancement methods, and there are various image enhancement methods, which are handled under special circumstances.
3. Image restoration is also a processing field to improve image appearance. Unlike image enhancement, image enhancement is subjective, while image restoration is objective. Restoration techniques are often based on mathematical or probabilistic models of image degradation. Enhancement is a subjective preference based on what is a good enhancement effect.
4. Color image processing. The sixth chapter covers many basic concepts of color model and color processing in the digital field. Color is also the basis of extracting the region of interest in the image.
5. Wavelet is the basis of describing images with different resolutions. In this book, wavelet is used for image data compression and pyramid representation, when the image is successfully subdivided into smaller regions.
6. Compression refers to the process of reducing image storage or image bandwidth. The Internet is characterized by a large number of pictures. For example, jpeg image compression standard adopts jpg file extension. Jpeg format images can get better image quality with the least disk space.
7. Morphological processing includes tools to extract image components, which is very useful in representing and describing shapes. This chapter will begin with the transformation from output image processing to output image attribute processing.
8. Segmentation divides an image into its components or targets. Usually, automatic segmentation is one of the most difficult tasks in digital image processing. It is a difficult segmentation process to successfully segment targets one by one. Generally, the more accurate the segmentation, the more successful the recognition.
9. Representation and description. Selection representation is only a part of transforming the original data into a form suitable for computer subsequent processing. In order to describe the data and make the features of interest more obvious, a method must be determined. Description, also known as feature selection, involves extracting features, which can get some quantitative information of interest or be the basis for distinguishing a group of targets from other targets.
10, target recognition, is to give the target a sign according to its description (such as? Vehicle? ) process.
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