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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Journal ArticleDOI
Adaptive Kuwahara filter
TL;DR: A new filter was created by improving the standard Kuwahara filter, which allows more efficient noise reduction without blurring the edges and image preparation for segmentation and further analyses operations.
Journal ArticleDOI
Implementation and Complexity of the Watershed-from-Markers Algorithm Computed as a Minimal Cost Forest
TL;DR: The watershed algorithm belongs to classical algorithms in mathematical morphology and was described for a 2D case without a detailed discussion of its computation and memory demands for real datasets.
Proceedings ArticleDOI
Combining 2D and 3D hand geometry features for biometric verification
TL;DR: This paper investigates a new approach to achieve performance improvement for hand geometry systems by simultaneously acquiring three dimensional features from the presented hands by utilizing a laser based 3D digitizer and two new representations that characterize the local features on the finger surface are extracted from the acquired range images.
Journal ArticleDOI
3D Image Segmentation of Aggregates from Laser Profiling
TL;DR: A method for segmenting a particle image acquired from laser profiling is developed using a Canny edge detector and a watershed transformation to reduce the amount of time required for aggregate preparation, but also increase the accuracy of analysis results.
Journal ArticleDOI
A butterfly diagram and carrington maps for century-long Ca II K spectroheliograms from the Kodaikanal observatory
TL;DR: In this paper, a butterfly diagram of plage centroid centroids is used to illustrate the time-latitude distribution of plages by rendering a 3D visualization of the diagram showing one-to-one mapping between plage location, time, and area.