tailieunhanh - Lecture Digital image processing - Lecture 25: Image segmentation
This chapter presents the following content: pseudocolors image processing, full color image processing, image analysis, image segmentation, segmentation algorithms, discontinuities intensity, lines and edges, gradient operators, linking the edge points. | Digital Image Processing CSC331 Image Segmentation 1 Summery of previous lecture Color image processing Primary and secondary colors Color characteristics Color models RGB color model CMY model HSI color model Pseudocolors image processing Full color image processing 2 Todays lecture Image analysis Image segmentation Segmentation Algorithms Discontinuities intensity: points, lines and edges Gradient Operators Linking the edge points 3 Image analysis Is the extraction of meaningful information from images; Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face. Computers are indispensable for the analysis of large amounts of data, for tasks that require complex computation, or for the extraction of quantitative information. On the other hand, the human visual cortex is an excellent image analysis apparatus, especially for extracting higher-level information, and for many applications — including medicine, security, and remote sensing — human analysts still cannot be replaced by computers. For this reason, many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models. 4 Techniques There are many different techniques used in automatically analyzing images. Each technique may be useful for a small range of tasks, however there still aren't any known methods of image analysis that are generic enough for wide ranges of tasks, compared to the abilities of a human's image analyzing capabilities. Examples of image analysis techniques in different fields include: image segmentation, 2D and 3D object recognition motion detection . Single particle tracking, video tracking, optical flow, medical scan analysis, 3D Pose Estimation, automatic number plate recognition. 5 Image Segmentation Segmentation divides an image into its constituent regions or objects. Segmentation of images is a difficult task in image processing. Still under research. . | Digital Image Processing CSC331 Image Segmentation 1 Summery of previous lecture Color image processing Primary and secondary colors Color characteristics Color models RGB color model CMY model HSI color model Pseudocolors image processing Full color image processing 2 Todays lecture Image analysis Image segmentation Segmentation Algorithms Discontinuities intensity: points, lines and edges Gradient Operators Linking the edge points 3 Image analysis Is the extraction of meaningful information from images; Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face. Computers are indispensable for the analysis of large amounts of data, for tasks that require complex computation, or for the extraction of quantitative information. On the other hand, the human visual cortex is an excellent image analysis apparatus, especially for extracting higher-level information, and for many applications — including medicine, security, .
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