Cognitive learning in differential evolution and its application to model order reduction problem for single-input single-output systems

Bansal, Jagdish Chand; Sharma, Harish

doi:10.1007/s12293-012-0089-8

Cited by 40 publications

(2 citation statements)

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“…In order to compare the initialised NMF methods with existing methods, statistical comparison is carried out using Student's t-test (Croarkin and Tobias 2012), boxplots (Croarkin and Tobias 2012) and performance index (PI) (Bansal and Sharma 2012). In this paper, Student's t-test is applied to a confidence level of 0.95.…”

Section: Resultsmentioning

confidence: 99%

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Colour normalisation of histopathological images

Saraswat

Arya

2013

Computer Methods in Biomechanics and Biomedical Engineering: Im

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Colour transfer is a prime area of research in image processing in recent years. In many real-life image applications, colour transfer of the image is required. A few methods have been developed to alter the colour appearance of the images as per the colour information of the reference image. Histopathological image analysis is one of the application areas where colour transfer method can be used to reduce the effect of varying staining and illuminance. This paper proposes a hybrid method of colour normalisation using modified non-negative matrix factorisation (NMF) and novel colour transfer method. The NMF method has been initialised using Lab colour space which provides fast and reliable results. Uncorrelated color space has been used to transfer the colour of target image to source image. The results show that the proposed method outperforms the considered existing methods and can successfully be applied for the colour normalisation of histopathological images.

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Section: Resultsmentioning

confidence: 99%

“…The consolidated performance of modified methods with existing NMF methods is also compared using PI (Bansal and Sharma 2012). This index gives a weighted importance to mean error, mean number of iterations and mean computational time.…”

Section: Resultsmentioning

confidence: 99%