Study on Image Retrieval based on Image Texture and Color Statistical Projection
Description of this data
This article presents an image texture and hue statistical projection based retrieval. First the image is converted to HSI color model, the gray value of the image extraction, and Robert algorithm to extract the texture, then the image is divided into blocks and extracts the main color block, the main color image blocks are respectively projected in the horizontal and vertical direction of 2, get 2 projection histogram, the 2 projection histograms of the first three order center extraction distance and Robert algorithm as the features of texture, image similarity calculation. Make a very full pave the way for future Canny edge processing algorithm research of image retrieval.
Experiment data files
This data is associated with the following publication:
Cite this dataset
Tang, Bing; Zheng, Xiaofei (2016), “Study on Image Retrieval based on Image Texture and Color Statistical Projection”, Mendeley Data, v1 http://dx.doi.org/10.17632/55b7ywy2sn.1
The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.