Study of the pseudo-color processing for infrared forest-fire image

Wang, Tingting; Su, Jianmin; Huang, Yating; Zhu, Yanji

doi:10.1109/icfcc.2010.5497756

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…Second, the gray-color transformation method is proposed to form the color image [22,23]. According to the block diagram shown in Fig.…”

Section: Training Image Fingerprint Constructionmentioning

confidence: 99%

An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System

Zhu,

Gu,

Lin

2024

CMES

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With the rapid development of electric power systems, load estimation plays an important role in system operation and planning. Usually, load estimation techniques contain traditional, time series, regression analysis-based, and machine learning-based estimation. Since the machine learning-based method can lead to better performance, in this paper, a deep learning-based load estimation algorithm using image fingerprint and attention mechanism is proposed. First, an image fingerprint construction is proposed for training data. After the data preprocessing, the training data matrix is constructed by the cyclic shift and cubic spline interpolation. Then, the linear mapping and the gray-color transformation method are proposed to form the color image fingerprint. Second, a convolutional neural network (CNN) combined with an attention mechanism is proposed for training performance improvement. At last, an experiment is carried out to evaluate the estimation performance. Compared with the support vector machine method, CNN method and long short-term memory method, the proposed algorithm has the best load estimation performance.

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“…Second, the gray-color transformation method is proposed to form the color image [22,23]. According to the block diagram shown in Fig.…”

Section: Training Image Fingerprint Constructionmentioning

confidence: 99%

An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System

Zhu,

Gu,

Lin

2024

CMES

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“…The code phase plate is placed on the input plane. By using a small opening filter on frequency spetrum plane, we demodulate namely only let a certain order of the dispersed colors pass, then the pseudo color image can be obtained on the output plane and the image changes with the different density of the original image [3,4,5] .…”

Section: White Light Information Processing Systemmentioning

confidence: 99%

Pseudo-Color Coding with Phase-Modulated Image Density

Sheng

Jiang²,

Wei

2011

AMR

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Traditional pseudo color coding for gray images based on image enhancement technique cannot adequately deal with some of the details information of the image. In this paper, an enhanced approach of peudo-color coding with phase-modulated image density is presented. This method has distinct levels, richer colours, and is adequate for human perception of color ,providing a better algorithm for pseudo color coding based on gray images. This method has great potential in research and application and characteristic of strong universal usage, which can process high gray resolution image.

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“…The use of color visualization is the subject of interest in various areas, such as biomedicine, geology, topographic mapping, aerial imagery, and oceanography [2]. For example, image visualization enhancement can be used in medical imaging, where it could help make a more accurate diagnosis [3], present the forest-fire image to improve the amount of useful information [4], to present SAR images to ease the interpretation difficulty [5] or to improve weapon detection [6] (see Fig. 1).…”

Section: Introductionmentioning

confidence: 99%

Visualization enhancement of segmented images using genetic algorithm

Radlak

Smołka

2014

2014 International Conference on Multimedia Computing and Systems (ICMCS)

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The aim of the paper is to present the results of investigations concerning the implementation of pseudocolor visualization algorithm of segmented images, capable to find the color combination producing maximum contrast between the segmented areas. Very often there is a need of visualization of segmentation results and usually they are presented by assigning colors randomly or from predefined palettes, what could decrease the visualization effect, when neighboring regions have assigned similar colors. To alleviate this problem, we propose novel methodology for deriving optimized visualization based on maximizing local distance between colors. In the paper we present visualization results using a new color contrast measure optimized with a genetic algorithm and compare the effectiveness with a greedy algorithm. The proposed method can be used to obtain visually pleasing pseudocolor encoded images of segmentation results which can be useful for the presentation of various kinds of visual information.

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Study of the pseudo-color processing for infrared forest-fire image

Cited by 8 publications

References 3 publications

An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System

An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System

Pseudo-Color Coding with Phase-Modulated Image Density

Visualization enhancement of segmented images using genetic algorithm

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