2D Image based sieving for particle aggregate gradation
✍ Scribed by Chen Ken; John Zaniewski; Pan Zhao; Ren’er Yang
- Book ID
- 107502908
- Publisher
- SP Science Press
- Year
- 2008
- Tongue
- English
- Weight
- 126 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0217-9822
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
The 2-D maximum entropy method not only considers the distribution of the gray information, but also takes advantage of the spatial neighbor information with using the 2-D histogram of the image. As a global threshold method, it often gets ideal segmentation results even when the imageÕs signal nois
multiple objects and feature queries on large image databases. Contents such as color, texture, and shape may be Efficient indexing models play a key role in the contentbased retrieval of image and video databases. In this paper, used for queries, and techniques such as histograms, FFT, four models