<--- Back to Details
First PageDocument Content
Image denoising / Segmentation / Noise reduction / Thresholding / Watershed / Mean-shift / Step detection / Image processing / Statistics / Signal processing
Date: 2015-04-20 11:28:18
Image denoising
Segmentation
Noise reduction
Thresholding
Watershed
Mean-shift
Step detection
Image processing
Statistics
Signal processing

Denoising and Segmentation of Digital Feather Image Using Mean Shift Algorithm Hongwei YUE1, Ken CAI2*, Bing LUO1, Yingying JIN3, Zhaofeng ZENG4 1

Add to Reading List

Source URL: dline.info

Download Document from Source Website

File Size: 688,41 KB

Share Document on Facebook

Similar Documents

TO BE SUBMITTED TO IEEE TRANSACTIONS ON IMAGE PROCESSING  1 Image Estimation using Interscale Phase Properties of Complex Wavelet Coefficients

TO BE SUBMITTED TO IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Image Estimation using Interscale Phase Properties of Complex Wavelet Coefficients

DocID: 1vqUM - View Document

Advanced Image Processing with DirectX® 9 Pixel Shaders

Advanced Image Processing with DirectX® 9 Pixel Shaders

DocID: 1vpet - View Document

Dual-Tree Complex Wavelets - their key properties and a range of image-processing applications Nick Kingsbury Signal Processing and Communications Laboratory Department of Engineering, University of Cambridge, UK. email:

Dual-Tree Complex Wavelets - their key properties and a range of image-processing applications Nick Kingsbury Signal Processing and Communications Laboratory Department of Engineering, University of Cambridge, UK. email:

DocID: 1vnKn - View Document

HYPERCUBE ALGORITHMS FOR IMAGE PROCESSING AND PATTERN RECOGNITION

HYPERCUBE ALGORITHMS FOR IMAGE PROCESSING AND PATTERN RECOGNITION

DocID: 1vl8h - View Document