Fusion of Visual and Thermal Images Using Genetic Algorithms

Erkanli, Sertan

doi:10.5772/36139

Cited by 9 publications

(4 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These ultrasound images are diagnostic of "papillary process of the caudate lobe of liver. " This normal variant mimics pancreatic or preaortic lymph node masses [33]. Figures 6, 7, 8, and 9 show ultrasound images of gall bladder having a semisolid biliary sludge ball.…”

Section: Resultsmentioning

confidence: 90%

“…In this paper, enhancement technique for nonuniform and uniform dark images (ETNUD) purposed by some researchers is applied for enhancement of dark portions in ultrasound images as its use in ultrasound images for detection of irregularity has not been reported yet [33,34]. This method relies on the information got from the image histogram.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effect of Enhancement Technique on Nonuniform and Uniform Ultrasound Images

Lehana

Rajput

Kumari³

et al. 2015

Journal of Computational Engineering

View full text Add to dashboard Cite

The absence of adequate scientific resources in the area of medical sciences sometimes leads to improper diagnosis of diseases and hence the treatments of such diseases are affected badly. However, with the advancement of technology, the complicacy of various malfunctions inside the human body reduces. Ultrasound imaging is one of the biomedical scanning techniques that let the pathologist make comment reasonably and accurately on the disease or irregularity seen in the scan while low imaging quality lets the diagnosis go wrong. Even a little distortion can route the pathologist away from the main cause of the disease. In this research work, the enhancement of dark ultrasound images has been done. An algorithm is developed using enhancement technique for nonuniform and uniform dark images. Finally, we compared the quality of the processed and unprocessed images. Both ETNUD and mean and median filtering techniques were used for image analysis.

show abstract

Section: Resultsmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Effect of Enhancement Technique on Nonuniform and Uniform Ultrasound Images

Lehana

Rajput

Kumari³

et al. 2015

Journal of Computational Engineering

View full text Add to dashboard Cite

show abstract

“…In [ 22 ], the advantages of combining thermal and visible face recognition are analyzed, and recognition is achieved using a k-nearest neighbor classifier by principal component analysis (PCA). Finally, [ 23 ] uses a fusion method based on image fusion using the entropy information with a genetic algorithm. The study does not perform face recognition; however, it shows a way to efficiently combine visible and thermal features to be used in a face recognition system.…”

Section: Introductionmentioning

confidence: 99%

Fusion of Visible and Thermal Descriptors Using Genetic Algorithms for Face Recognition Systems

Hermosilla

Gallardo

Farías

et al. 2015

Sensors

View full text Add to dashboard Cite

The aim of this article is to present a new face recognition system based on the fusion of visible and thermal features obtained from the most current local matching descriptors by maximizing face recognition rates through the use of genetic algorithms. The article considers a comparison of the performance of the proposed fusion methodology against five current face recognition methods and classic fusion techniques used commonly in the literature. These were selected by considering their performance in face recognition. The five local matching methods and the proposed fusion methodology are evaluated using the standard visible/thermal database, the Equinox database, along with a new database, the PUCV-VTF, designed for visible-thermal studies in face recognition and described for the first time in this work. The latter is created considering visible and thermal image sensors with different real-world conditions, such as variations in illumination, facial expression, pose, occlusion, etc. The main conclusions of this article are that two variants of the proposed fusion methodology surpass current face recognition methods and the classic fusion techniques reported in the literature, attaining recognition rates of over 97% and 99% for the Equinox and PUCV-VTF databases, respectively. The fusion methodology is very robust to illumination and expression changes, as it combines thermal and visible information efficiently by using genetic algorithms, thus allowing it to choose optimal face areas where one spectrum is more representative than the other.

show abstract

“…The dark images can be brightened by power law transformations or log transformations. The power law transformation expands the gray level thus capturing information from dark regions whereas the log transformations brighten the dark regions at the expense of brighter region information [2][3] [34][35][36]. They proposed the enhancement technique for non-uniform and uniform dark images (ETNUD).…”

Section: Introductionmentioning

confidence: 99%

Qualitative and Quantitative Analysis of Non-Uniform Dark

Rajput¹,

Arya

Kumari³

et al. 2014

AIVP

View full text Add to dashboard Cite

In this paper, an algorithm is developed to attain information from the dark images and an analysis is sought for the impact of brightness adjustment parameter (α) and color hue (λ) on a single dark image. The algorithm appears quite appealing as the quality of the images become clearer. This algorithm is applied on a single dark image for different values of α and λ and out of resultant twenty four images; medium, high and low quality were selected randomly for mean opinion score. A mean score opinion (MOS) is drawn for a set of processed and unprocessed images and the results gathered shows that the processed image gathers valuable information and appeared clear. Results showed that few parts where no information was being noticed before processing the digital image, now provides information to the subject after processing..

show abstract

Fusion of Visual and Thermal Images Using Genetic Algorithms

Cited by 9 publications

References 29 publications

Effect of Enhancement Technique on Nonuniform and Uniform Ultrasound Images

Effect of Enhancement Technique on Nonuniform and Uniform Ultrasound Images

Fusion of Visible and Thermal Descriptors Using Genetic Algorithms for Face Recognition Systems

Qualitative and Quantitative Analysis of Non-Uniform Dark

Contact Info

Product

Resources

About