Integrated infrared image system within accurate detection

2021 ◽  
Author(s):  
Jian-Chiun Liou ◽  
Zhen-Yu Yang
Keyword(s):  
Infrared Image ◽  
Image System ◽  
Accurate Detection

Infrared image system for fire location

Measurement ◽  
2013 ◽  
Vol 46 (10) ◽  
pp. 4172-4178 ◽  
Author(s):  
A. Pesatori ◽  
M. Norgia
Keyword(s):  
Infrared Image ◽  
Image System ◽  
Fire Location

Application of a novel unequally spaced sampling method in infrared image system with rosette scanning

2001 ◽  
Author(s):  
Qianqian Wang ◽  
Jian Wu ◽  
Jinghai Liu ◽  
Youna Lin
Keyword(s):  
Sampling Method ◽  
Infrared Image ◽  
Image System ◽  
Unequally Spaced

Suppression of fixed pattern noise for infrared image system

2008 ◽  
Author(s):  
Changhan Park ◽  
Jungsoo Han ◽  
Kyung-Hoon Bae
Keyword(s):  
Infrared Image ◽  
Image System ◽  
Pattern Noise ◽  
Fixed Pattern Noise

scholarly journals Accurate detection method of pig's temperature based on non‐point source thermal infrared image

2021 ◽  
Author(s):  
Zaiqin Zhang ◽  
Hao Wang ◽  
Tonghai Liu ◽  
Yueqiang Wang ◽  
Hang Zhang ◽  
...  
Keyword(s):  
Point Source ◽  
Detection Method ◽  
Infrared Image ◽  
Thermal Infrared ◽  
Accurate Detection

An Adaptive Binarization Method for Cost-efficient Document Image System in Wavelet Domain

2020 ◽  
Vol 64 (3) ◽  
pp. 30401-1-30401-14 ◽  
Author(s):  
Chih-Hsien Hsia ◽  
Ting-Yu Lin ◽  
Jen-Shiun Chiang
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Document Image ◽  
Background Information ◽  
Raspberry Pi ◽  
Discrete Wavelet ◽  
Image System ◽  
Low Frequencies ◽  
Cost Efficient ◽  
Binarization Method

Abstract In recent years, the preservation of handwritten historical documents and scripts archived by digitized images has been gradually emphasized. However, the selection of different thicknesses of the paper for printing or writing is likely to make the content of the back page seep into the front page. In order to solve this, a cost-efficient document image system is proposed. In this system, the authors use Adaptive Directional Lifting-Based Discrete Wavelet Transform to transform image data from spatial domain to frequency domain and perform on high and low frequencies, respectively. For low frequencies, the authors use local threshold to remove most background information. For high frequencies, they use modified Least Mean Square training algorithm to produce a unique weighted mask and perform convolution on original frequency, respectively. Afterward, Inverse Adaptive Directional Lifting-Based Discrete Wavelet Transform is performed to reconstruct the four subband images to a resulting image with original size. Finally, a global binarization method, Otsu’s method, is applied to transform a gray scale image to a binary image as the output result. The results show that the difference in operation time of this work between a personal computer (PC) and Raspberry Pi is little. Therefore, the proposed cost-efficient document image system which performed on Raspberry Pi embedded platform has the same performance and obtains the same results as those performed on a PC.

RxCADRE 2008: Wildfire Airborne Sensor Program - Lite uncalibrated long wave infrared image mosaics

2016 ◽  
Author(s):  
Andrew T. Hudak ◽  
Benjamin C. Bright ◽  
Robert L. Kremens ◽  
Matthew B. Dickinson ◽  
Matthew G. Alden
Keyword(s):  
Infrared Image ◽  
Long Wave ◽  
Long Wave Infrared
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