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Insulator detection using an infrared image is challenged by variance of temperature, orientations, and a cluttered background. A robust and discriminative representation of insulators in electric power systems is needed. This paper proposes a novel method for generating this type of representation in infrared images by taking advantage of high-level discriminative Convolutional Neural Networks (CNNs)...
Infrared and visible image fusion can integrate the target information of an infrared image and the spatial detail of a visible image to constitute a fused image, which has more complete and accurate description of the same scene than a single image. In this paper, a novel image fusion method using saliency detection based on non-subsampled shearlet transform (NSST) is proposed for infrared and visible...
The terrorist attacks are major concerns to many countries all over the world therefore most of countries are working on researches over different security techniques to predict the possibilities of such terrorist attacks before its happening for saving the number of human lives and important assets. Video processing and image processing security methods presented by researchers in order to detect...
Robust image saliency detection can process the image correctly without any prior knowledge and additional assumptions. Therefore, the saliency detection is still one of the important steps in the field of computer vision including object recognition and tracking, image and video encoding and image segmentation. Although infrared imaging has extensive applications, there is few saliency extraction...
This paper proposes a new fusion approach of infrared (IR) and visual (VIS) images based on Undecimated Discrete Wavelet Transform (UDWT) and saliency map analysis. The proposed fusion method is composed of three steps. Firstly, IR and VIS images are decomposed into low-pass sub-band coefficients and high-pass sub-band coefficients by UDWT. Meanwhile, sub-band directional coefficients are extracted...
As an important research area in image analysis and computer vision, fusion of infrared and visible images aims at delivering an effective combination of image information from different sensors. Since the final fused image is the demonstration of fusion process, it should reveal both source images' vital information distinctly. To achieve this purpose, an image fusion method based on multiscale hybrid...
Infrared and low light level image color fusion can make target detection and recognition more precise. Different from the existing color transfer fusion method using fixed reference image, this paper presents a color fusion method based on a combination of scene classification, fusion quality measure and color transfer. We introduce the scene classification method into the color fusion algorithm,...
This paper proposes using both of the Histogram matching and wavelet fusion as an enhancement technique for infrared images (IR). Evaluation metrics for image enhancement includes entropy, standard deviation, edge intensity, contrast and average gradient. Results revealed that histogram matching of IR images to visual images enhances of the appearance of the images. Moreover, wavelet fusion can achieve...
Thermographic images are used for condition monitoring of electrical equipment. To identify thermal anomalies, segmentation is performed on infrared images. Segmentation of IR images needs special attention as compared to visual images because of over-centralized intensity distribution in Infrared images. This paper presents an effort to compare various segmentation techniques and to find out a technique...
Image fusion is the process of combining two or more images acquired from different image sensors into a single image which is advantageous for advance image processing assignments. In this work we present a new fusion method using fuzzy sets (FSs) that combine two or more images by using maximum, minimum operations in fuzzy images. In the processing stage, images are transformed into fuzzy images...
Aiming at the charecteristics of the infrared and visible light image, a fusion method of the infrared and visible image based on the nonsampled contourlet transform(NSCT) is proposed. Through the use of NSCT to decompose the source image sparsely on multi-dirction and multi-scale, the low-frequency components and every bandpass subband direction components are obtained. For the low frequency subband...
Blurring edge of the infrared image is not conducive to human eye observation. In order to improve the visual effect of infrared image and the visibility of infrared image, the theory of fractal Brown is used to enhance infrared image in this paper. Fractal Brown Random(FBR) with the nature of random field shows that small area of the image meet the self-similarity, but the regularity of the boundary...
An effective color image fusion algorithm based on NSCT(Nonsubsampled contourlet transform) and Lαβ color space is proposed for visual and infrared night image fusion, aiming at traditional fusion method suffering from no rich details and no clear target. The NSCT is applied in fusion processing because of its good properties which include multi-scale, time-frequency localization, shift invariance,...
Infrared and visible image fusion, as a powerful tool for the object detection and recognition, has developed with the advent of various imaging modalities. However, resulting images of traditional methods are always difficult to compromise between multimodalities. This paper has solved this problem by a variable-weight fusion rule based on the non-sub sampled contourlet transform (NSCT). The original...
Infrared small-target detection plays an important role in image processing for infrared remote sensing. In this letter, different from traditional algorithms, we formulate this problem as salient region detection, which is inspired by the fact that a small target can often attract attention of human eyes in infrared images. This visual effect arises from the discrepancy that a small target resembles...
In this research, the effect of registration error on infrared image and visible image fusion quality was discussed. The registration errors from different directions were adopted to simulate the real registration error. Meanwhile, the infrared and visible images under different registration error were analyzed. The result showed that among the Laplacian Pyramid fusion, Gradient Pyramid fusion, Contrast...
In this paper, the disadvantage of using traditional histogram equalization for infrared image enhancement is discussed. Then by analyzing the human visual responds to the logarithm of image lightness, a modified method of histogram equalization algorithm is proposed based on the visual characteristic. The method can improve the displaying ability of image details through adjusting the pixel contrast...
This paper reviews the machine-vision techniques available for image acquisition and their processing-analysis in agricultural automation up to now according to the essential base and the core work, focusing on 2 types of image, i.e., visible image and infrared image. Results from previous studies have shown two important topics on agriculture application, i.e., visual navigation and behaviors surveillance...
Focusing on the fusion problem of infrared and visible images with the same scene, a novel multi-sensor image fusion scheme based on the contourlet transform (CT) was proposed, which can capture the intrinsic geometrical structure that is key in visual information. The scheme uses the multiresolution contourlet decomposition to execute the detail extraction phase and a fusion rule that combines the...
Image fusion involves merging two or more images in such a way as to retain the most desirable characteristics of each. When a color visible image is fused with infrared image, the desired result is a color image with natural color appearance and full information. In this paper, an introduction to empirical mode decomposition (EMD) theory and the results from three image fusion schemes based on EMD-complex...
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