Enhancement of infrared image for roof leakage detection

Angaitkar, Pratik; Saxena, Khushboo; Gupta, Nitesh; Sinhal, Amit

doi:10.1109/ice-ccn.2013.6528566

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Purpose: Image enhancement techniques are employed to improve the quality and clarity of thermal images. [17] This can involve contrast stretching, histogram equalization, and filtering to highlight details and enhance the visibility of temperature variations. [19] Contribution: Enhanced images provide better visualization of spatial features, aiding in the accurate identification and measurement of temperature differences.…”

Section: Image Enhancementmentioning

confidence: 99%

Application of Image Processing Methods for IR Intensity Measurement in Spatial and Temporal Domains: A Comprehensive Review

2024

IRJMETS

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The research presented in this study focuses on the application of image processing methods for infrared (IR) intensity measurement in both spatial and temporal domains. The primary goal is to calculate the intensity at any given point in space over time, leveraging thermal imaging technology. The experimental setup involves the use of a thermal camera to capture the burning flare, which provides radiometric output. Additionally, a spectroradiometer is employed to measure intensity. The methodology integrates Plank's quantization law and employs image processing techniques using MATLAB to develop a specialized application.The application developed in this study aims to compute IR intensity, considering both spatial and temporal dimensions. Plank's quantization law serves as a foundational principle for the calculation process, and MATLAB-based image processing algorithms enhance the accuracy and efficiency of the intensity measurements. The intended application of this developed tool is within the defence sector, specifically for enhancing the security of aircraft. By providing a reliable and accurate means of assessing IR intensity over both space and time, the developed application can contribute to advanced surveillance and monitoring capabilities, ensuring the safety and security of aircraft in defence applications.

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Section: Image Enhancementmentioning

confidence: 99%

Application of Image Processing Methods for IR Intensity Measurement in Spatial and Temporal Domains: A Comprehensive Review

2024

IRJMETS

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“…Another system has been proposed, which automatically maps the images to a 3D model, eliminates windows and doors, and detects regions with high heat loss on the facade [69,77,162]. A thermal system has also been proposed for detecting roof leakage [4].…”

Section: Building Inspectionmentioning

confidence: 99%

Thermal cameras and applications: a survey

Gade

Moeslund

2013

Machine Vision and Applications

584

269

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Thermal cameras are passive sensors that capture the infrared radiation emitted by all objects with a temperature above absolute zero. This type of camera was originally developed as a surveillance and night vision tool for the military, but recently the price has dropped, significantly opening up a broader field of applications. Deploying this type of sensor in vision systems eliminates the illumination problems of normal greyscale and RGB cameras.This survey provides an overview of the current applications of thermal cameras. Applications include animals, agriculture, buildings, gas detection, industrial, and military applications, as well as detection, tracking, and recognition of humans. Moreover, this survey describes the nature of thermal radiation and the technology of thermal cameras.

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“…Therefore, it is essential to develop effective imaging strategies for IR image contrast enhancement. Contrast enhancement techniques of infrared imaging can be classified into contrast stretching [3,4], histogram equalization [5] and frequency-based methods such as spatial homomorphic filtering, spatio-temporal homomorphic filtering or additive wavelet transform [6]. Although the contrast stretching is simple, its performance is limited because its fixed transformation function cannot adapt to a changing scene [1].…”

Section: Measurement Science and Technologymentioning

confidence: 99%

In-situ volumetric topography of IC chips for defect detection using infrared confocal measurement with active structured light

Chen¹,

Le²,

Phuc³

et al. 2014

Meas. Sci. Technol.

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The article presents the development of in-situ integrated circuit (IC) chip defect detection techniques for automated clipping detection by proposing infrared imaging and full-field volumetric topography. IC chip inspection, especially held during or post IC packaging, has become an extremely critical procedure in IC fabrication to assure manufacturing quality and reduce production costs. To address this, in the article, microscopic infrared imaging using an electromagnetic light spectrum that ranges from 0.9 to 1.7 µm is developed to perform volumetric inspection of IC chips, in order to identify important defects such as silicon clipping, cracking or peeling. The main difficulty of infrared (IR) volumetric imaging lies in its poor image contrast, which makes it incapable of achieving reliable inspection, as infrared imaging is sensitive to temperature difference but insensitive to geometric variance of materials, resulting in difficulty detecting and quantifying defects precisely. To overcome this, 3D volumetric topography based on 3D infrared confocal measurement with active structured light, as well as light refractive matching principles, is developed to detect defects the size, shape and position of defects in ICs. The experimental results show that the algorithm is effective and suitable for in-situ defect detection of IC semiconductor packaging. The quality of defect detection, such as measurement repeatability and accuracy, is addressed. Confirmed by the experimental results, the depth measurement resolution can reach up to 0.3 µm, and the depth measurement uncertainty with one standard deviation was verified to be less than 1.0% of the full-scale depth-measuring range.

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Enhancement of infrared image for roof leakage detection

Cited by 3 publications

References 11 publications

Application of Image Processing Methods for IR Intensity Measurement in Spatial and Temporal Domains: A Comprehensive Review

Application of Image Processing Methods for IR Intensity Measurement in Spatial and Temporal Domains: A Comprehensive Review

Thermal cameras and applications: a survey

In-situ volumetric topography of IC chips for defect detection using infrared confocal measurement with active structured light

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