• No results found

Automatic texture segmentation for content based image retrieval application

N/A
N/A
Protected

Academic year: 2020

Share "Automatic texture segmentation for content based image retrieval application"

Copied!
17
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1 Illustration of multi-resolution segmentation based onpyramid-structured wavelet transform
Fig. 2 3D feature space plot a wavelet transform coefficientb modified DWF coefficient
Fig. 3 Mean shift convergence of data points
Fig. 4 Flowchart of the proposed segmentation algorithm
+7

References

Related documents

Our analyses of model simulations and laboratory results suggest that: (1) when the ligand interaction occurs over a short distance (that is, reaching only the distal-most germ

the surface quality of ceramic mould shell for investment casting of titanium alloys”, International Journal of Materials and Product Technology, Vol.2, pp 793-798. Lewis

As the Rule Verification in Creating module detects the conflicts of rules on device, the Creating Conflict Detection (CCD) compares the rule with the other related rules in

The cases when the MS Word spell checker marked a grammar error were all because of capitalization problems, which suggests that there is no statistical real-word error detection in

Vitamin D plasma concentrations in pregnant women and their preterm newborns RESEARCH ARTICLE Open Access Vitamin D plasma concentrations in pregnant women and their preterm newborns

RESEARCH ARTICLE Open Access Waiting for attention and care birthing accounts of women in rural Tanzania who developed obstetric fistula as an outcome of labour Lilian T Mselle1*, Thecla

Earth Planets Space, 60, 653?660, 2008 Quantitative description of oscillatory zoning in basaltic to dacitic plagioclases from the Shirahama Group, Japan Akira Tsune1 and Atsushi