Detection of Objects in Underwater Images Based on the Two-Dimensional Tsallis Entropy

ROBOT ◽  
2010 ◽  
Vol 32 (3) ◽  
pp. 289-297
Author(s):  
Xudong TANG ◽  
Yongjie PANG ◽  
Tiedong ZHANG ◽  
Ye LI
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Dong-xue Xia ◽  
Chun-gui Li ◽  
Shu-hong Yang

Infrared images are fuzzy and noisy by nature; thus the segmentation of human targets in infrared images is a challenging task. In this paper, a fast thresholding method of infrared human images based on two-dimensional fuzzy Tsallis entropy is introduced. First, to address the fuzziness of infrared image, the fuzzy Tsallis entropy of objects and that of background are defined, respectively, according to probability partition principle. Next, this newly defined entropy is extended to two dimensions to make good use of spatial information to deal with the noise in infrared images, and correspondingly a fast computation method of two-dimensional fuzzy Tsallis entropy is put forward to reduce its computation complexity fromO(L2)toO(L). Finally, the optimal parameters of fuzzy membership function are searched by shuffled frog-leaping algorithm following maximum entropy principle, and then the best threshold of an infrared human image is computed from the optimal parameters. Compared with typical entropy-based thresholding methods by experiments, the method presented in this paper is proved to be more efficient and robust.


2019 ◽  
pp. 42-47
Author(s):  
B. V. Artemiev ◽  
D. V. Popov ◽  
V. E. Dmitriev

A new approach to the visualization of three-dimensional images obtained using a millimeter-wave radar is described. The proposed radar uses a cross antenna array to obtain a two-dimensional image of each range. Thus, a three-dimensional image of the object under study can be formed. Also proposed a new method of processing a radar signal, based on the theory of Compressive Sensing (CS), to detect two or more targets on the same line of sight. After a brief description of the proposed approaches, case studies are presented to assess the effectiveness of the method.


1966 ◽  
Vol 24 ◽  
pp. 118-119
Author(s):  
Th. Schmidt-Kaler

I should like to give you a very condensed progress report on some spectrophotometric measurements of objective-prism spectra made in collaboration with H. Leicher at Bonn. The procedure used is almost completely automatic. The measurements are made with the help of a semi-automatic fully digitized registering microphotometer constructed by Hög-Hamburg. The reductions are carried out with the aid of a number of interconnected programmes written for the computer IBM 7090, beginning with the output of the photometer in the form of punched cards and ending with the printing-out of the final two-dimensional classifications.


1966 ◽  
Vol 24 ◽  
pp. 3-5
Author(s):  
W. W. Morgan

1. The definition of “normal” stars in spectral classification changes with time; at the time of the publication of theYerkes Spectral Atlasthe term “normal” was applied to stars whose spectra could be fitted smoothly into a two-dimensional array. Thus, at that time, weak-lined spectra (RR Lyrae and HD 140283) would have been considered peculiar. At the present time we would tend to classify such spectra as “normal”—in a more complicated classification scheme which would have a parameter varying with metallic-line intensity within a specific spectral subdivision.


1966 ◽  
Vol 25 ◽  
pp. 46-48 ◽  
Author(s):  
M. Lecar

“Dynamical mixing”, i.e. relaxation of a stellar phase space distribution through interaction with the mean gravitational field, is numerically investigated for a one-dimensional self-gravitating stellar gas. Qualitative results are presented in the form of a motion picture of the flow of phase points (representing homogeneous slabs of stars) in two-dimensional phase space.


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