Color clustering for ocean surface over Chinese surrounding sea areas based on octree color quantization

2018 ◽  
Author(s):  
Chenyang Deng ◽  
Ningfang Liao ◽  
Yasheng Li ◽  
Xueqiong Bai ◽  
Wenming Yang ◽  
...  
Keyword(s):  
Ocean Surface ◽  
Color Quantization ◽  
Color Clustering

An Improved Seed Point Selection-Based Unsupervised Color Clustering for Content-Based Image Retrieval Application

2019 ◽  
Vol 63 (3) ◽  
pp. 337-350
Author(s):  
L K Pavithra ◽  
T Sree Sharmila
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Color Quantization ◽  
Color Information ◽  
Point Selection ◽  
Seed Point ◽  
First Order ◽  
Dominant Color ◽  
Color Clustering ◽  
Seed Points

Abstract The images involved in the content-based image retrieval (CBIR) applications are collectively represented by features such as color, texture and shape. The precision of the CBIR application relies on the key features used in image representation and its similarity measure. In CBIR, dominant color feature extraction is affected by the predefined intervals used in color quantization. The proposed work mainly concentrates on extracting the dominant color information of the image using the clustering process. The clustering process is initiated by the proposed seed point’s selection approach. This approach derives the number of seed points using the first order statistical measure and maximum range of the distributed pixel values. Moreover, this work gives equal priority to dominant color and its occurrence information in calculating the similarity between query and database images. Finally, the standard databases such as SIMPLIcity, Corel-10k, OT-scene, Oxford flower and GHIM are taken to investigate the performance of the proposed dominant color based image retrieval application.

Subnose-1. electrochemical tracking of odor plumes at 900 m beneath the ocean surface

1991 ◽  
Vol 75 ◽  
pp. 303-306
Author(s):  
J Atema ◽  
PA Moore ◽  
LP Madin ◽  
GA Gerhardt
Keyword(s):  
Ocean Surface ◽  
Odor Plumes

Three-scale Radar Backscattering Model of the Ocean Surface Based on Second-order Scattering

PIERS Online ◽  
2008 ◽  
Vol 4 (2) ◽  
pp. 171-175 ◽  
Author(s):  
Ying Yu ◽  
Xiao-Qing Wang ◽  
Min-Hui Zhu ◽  
Jiang Xiao
Keyword(s):  
Ocean Surface ◽  
Second Order ◽  
Radar Backscattering

Recognition of Text in Video Based on Color Clustering and Multiple Frame Integration

2011 ◽  
Vol 22 (12) ◽  
pp. 2919-2933 ◽  
Author(s):  
Jian YI ◽  
Yu-Xin PENG ◽  
Jian-Guo XIAO
Keyword(s):  
Color Clustering ◽  
Multiple Frame

Study on Optimal Radar System for Observation of Weak Current on Ocean Surface

2010 ◽  
Vol 32 (8) ◽  
pp. 1879-1884
Author(s):  
Ying Yu ◽  
Xiao-qing Wang ◽  
Min-hui Zhu
Keyword(s):  
Ocean Surface ◽  
Radar System ◽  
Weak Current

A Study on Bistatic SAR Velocity Bunching Modulation of Ocean Surface

2011 ◽  
Vol 30 (12) ◽  
pp. 2840-2843
Author(s):  
Ying Yu ◽  
Xiao-qing Wang ◽  
Min-hui Zhu ◽  
Jiang Xiao
Keyword(s):  
Ocean Surface ◽  
Bistatic Sar
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