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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.

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Journal Article

A Color Image Segmentation Algorithm by Using Color and Spatial Information

Ye Qi
- 01 Jan 2004 - 
TL;DR: An algorithm for color image segmentation, based on color and spatial information is proposed, and the experimental results demonstrate that the color images segmentation results of the proposed approach hold favorable consistency in terms of human perception.
Journal ArticleDOI

Using classification and regression trees, liquid-based cytology and nuclear morphometry for the discrimination of endometrial lesions.

TL;DR: The proposed method can be a useful tool for the everyday practice of the cytological laboratory and outperform the standard cytological diagnosis of endometrial lesions.
Proceedings ArticleDOI

Real-time object tracking and segmentation using adaptive color snake model

TL;DR: In this paper, an active contour model, snake, was developed as a useful segmenting and tracking tool for rigid or non-rigid objects, which is designed on the basis of snake energies.
Proceedings ArticleDOI

Double Lane Line Edge Detection Method Based on Constraint Conditions Hough Transform

Ganlu Deng, +1 more
TL;DR: Experiments show that the lane detection using the Hough Transform double edge extraction method is fast and accurate.
Journal ArticleDOI

Advances in the Quantum Theoretical Approach to Image Processing Applications

TL;DR: A detailed survey of the quantum approach to image processing is presented, establishing theoretical fundamentals, performance and evaluation, draw key statistical evidence to support claims, and provide recommendations based on published literature mostly during the period from 2010 to 2015.