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
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Journal ArticleDOI
Region growing for MRI brain tumor volume analysis
TL;DR: A semi-automated region growing segmentation method is proposed to segment brain tumor from MR images and can successfully segment a tumor provided that the parameters are set properly.
Proceedings ArticleDOI
Document image retrieval using signatures as queries
Sargur N. Srihari,Shravya Shetty,Siyuan Chen,Harish Srinivasan,Chen Huang,Gady Agam,Ophir Frieder +6 more
TL;DR: A novel signature retrieval strategy is presented, which includes a technique for noise and printed text removal from signature images, previously extracted from business documents, based on a normalized correlation similarity measure using global shape-based binary feature vectors.
Journal ArticleDOI
A novel fusion scheme for visible and infrared images based on compressive sensing
TL;DR: An improved image fusion scheme based on compressive sensing can preserve more detail information, such as edges, lines and contours in comparison to the conventional transform-based image fusion approaches.
Journal ArticleDOI
Locally stationary wavelet fields with application to the modelling and analysis of image texture
TL;DR: In this article, an extension of a locally stationary wavelet process model into two-dimensions for lattice processes is proposed to characterize texture in a multiscale and spatially adaptive way.
Proceedings ArticleDOI
Image enhancement method for underwater, ground and satellite images using brightness preserving histogram equalization with maximum entropy
Jyoti Singhai,Paresh Rawat +1 more
TL;DR: Experimental results show that BPHEME can not only enhance the image effectively, but also preserve the original brightness quite well, to overcome such drawback as HE, named brightness preserving histogram equalization with maximum entropy (B PHEME).