Open AccessBook
Image Processing: Analysis and Machine Vision
TLDR
The digitized image and its properties are studied, including shape representation and description, and linear discrete image transforms, and texture analysis.Abstract:
List of Algorithms. Preface. Possible Course Outlines. 1. Introduction. 2. The Image, Its Representations and Properties. 3. The Image, Its Mathematical and Physical Background. 4. Data Structures for Image Analysis. 5. Image Pre-Processing. 6. Segmentation I. 7. Segmentation II. 8. Shape Representation and Description. 9. Object Recognition. 10. Image Understanding. 11. 3d Geometry, Correspondence, 3d from Intensities. 12. Reconstruction from 3d. 13. Mathematical Morphology. 14. Image Data Compression. 15. Texture. 16. Motion Analysis. Index.read more
Citations
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Proceedings ArticleDOI
An adaptive texture and shape based defect classification
Jukka Iivarinen,Ari Visa +1 more
TL;DR: In this paper classification of surface defects is considered and self-organizing maps (SOMs) are used as classifiers based on the internal structure and the shape characteristics of defects.
Journal ArticleDOI
An improved medical image enhancement scheme using Type II fuzzy set
TL;DR: Experiments show that the proposed Type II fuzzy method performs better than the existing methods on medical images and the segmented results on the proposed enhanced images are better.
Book ChapterDOI
Traffic sign recognition in disturbing environments
TL;DR: This work employs discrete cosine transform and singular value decomposition for extracting features that defy external disturbances for traffic sign recognition, and compares different designs of detection and classification systems for the task.
Journal ArticleDOI
Bone age estimation based on phalanx information with fuzzy constrain of carpals
TL;DR: The result reveals that the carpal features can effectively reduce classification errors when age is less than 9 years old and become the significant parameters to depict the bone maturity from 10 years old to adult stage.
Journal ArticleDOI
Multimodal biometric method based on vein and geometry of a single finger
B.J. Kang,Kang Ryoung Park +1 more
TL;DR: The method presents three advantages compared to previous works: the proposed multimodal biometric system can be constructed as a tiny device, which uses a finger vein and finger geometry features acquired from a single finger; the proposed finger geometry recognition, based on Fourier descriptors, is robust to the translation and rotation of a finger.