Introductory Computer Vision and Image Processing

Introduction. The Image Model. Image Acquisition. Image Presentation. Statistical Operations. Spatial Operations and Transformations. Segmentation and Edge Detection. Morphological and Other Area Operations. Finding Basic Shapes. Labelling Lines and Regions. Reasoning, Facts and Inferences. Pattern Recognition and Training. The Frequency Domain. Applications of Frequency Domain Processing. Image compression. Texture. Other Topics. Applications. Glossary. Bibliography. Acknowledgements.