Color Enhancement in Multispectral Image Using the Karhunen-Loeve Transform

Mitsui, Masanori; Murakami, Yuri; Obi, Takashi; Yamaguchi, Masahiro; Ohyama, Nagaaki

doi:10.1007/s10043-004-0069-4

Cited by 23 publications

(39 citation statements)

References 7 publications

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“…(4) [7]. In [7], the weighting factor matrix W is a N × N diagonal matrix with a single non-zero value k at the i th row/column. Equation (4) becomes…”

Section: Multichannel Spectral Image Enhancement: Methodsmentioning

confidence: 99%

“…Spectral images, however, typically contain tens or hundreds of individual color channels, providing detailed color information. Furthermore, spectral image enhancement can be applied to spectral images to enhance the contrast of the wavelength-dependent properties of the object in the images [6,7,8,9,10]. Enhanced spectral images of the retina could be used for early detection of DR.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, two existing methods of single-channel spectral image enhancement were modified for multichannel spectral image enhancement [6,7]. Compared to the single-channel-enhancement methods, multichannel methods allow simultaneous enhancement of different spectral features.…”

Section: Introductionmentioning

confidence: 99%

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Multichannel Spectral Image Enhancement for Visualizing Diabetic Retinopathy Lesions

Fält

Yamaguchi

Murakami

et al. 2014

Lecture Notes in Computer Science

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Abstract. Spectral imaging is a useful tool in many fields of scientific research and industry. Spectral images contain both spatial and spectral information of the scene. Spectral information can be used for effective visualization of the features-of-interest. One approach is to use spectral image enhancement techniques to improve the diagnostic accuracy of medical image technologies like retinal imaging. In this paper, two multichannel spectral image enhancement methods and a technique to further improve the visualization are presented. The methods are tested on four multispectral retinal images which contain diabetic retinopathy lesions. Both of the methods improved the detectability and quantitative contrast of the diabetic lesions when compared to standard color images and are potentially valuable for clinicians and automated image analyses.

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“…(4) [7]. In [7], the weighting factor matrix W is a N × N diagonal matrix with a single non-zero value k at the i th row/column. Equation (4) becomes…”

Section: Multichannel Spectral Image Enhancement: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multichannel Spectral Image Enhancement for Visualizing Diabetic Retinopathy Lesions

Fält

Yamaguchi

Murakami

et al. 2014

Lecture Notes in Computer Science

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“…Results on several pilot studies on the utility of multispectral imaging to improve the visualization of tissue structures and accuracy of quantitative histopathology image analysis showed promise [2][3][4][5][6][7][8][9][10][11][12][13][14][15]. A multispectral image acquisition system captures the same scene at different spectral wavelength using narrowband spectral filters producing a stack of N grey-level spectral images, where N corresponds to the number of narrowband spectral filters employed by the imaging system.…”

Section: Introductionmentioning

confidence: 99%

“…It is typically employed to pre-process images to improve the accuracy of the quantitative image analyses [16][17][18][19][20]. Multispectral enhancements are implemented to either improve our visual perception of the objects in a multispectral image or to particularly detect an object which is not visually perceptible [2][3][4][5][6][7][8][14][15]. When the objective of the enhancement is to emphasize the spectral-color difference between the object of interest and its background the visual clarity of the different objects in the background are not generally given attention.…”

Section: Introductionmentioning

confidence: 99%

Multispectral Enhancement Method to Increase the Visual Differences of Tissue Structures in Stained Histopathology Images

Bautista

Yagi

2012

Analytical Cellular Pathology

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Abstract. In this paper we proposed a multispectral enhancement scheme in which the spectral colors of the stained tissuestructure of interest and its background can be independently modified by the user to further improve their visualization and color discrimination. The colors of the background objects are modified by transforming their N-band spectra through an NxN transformation matrix, which is derived by mapping the representative samples of their original spectra to the spectra of their target colors using least mean square method. On the other hand, the color of the tissue structure of interest is modified by modulating the transformed spectra with the sum of the pixel's spectral residual-errors at specific bands weighted through an NxN weighting matrix; the spectral error is derived by taking the difference between the pixel's original spectrum and its reconstructed spectrum using the first M dominant principal component vectors in principal component analysis. Promising results were obtained on the visualization of the collagen fiber and the non-collagen tissue structures, e.g., nuclei, cytoplasm and red blood cells (RBC), in a hematoxylin and eosin (H&E) stained image.

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Optical implementation of spectral filtering for the enhancement of skin color discrimination

Nishino

Kaarna

Miyazawa

et al. 2010

Color Research & Application

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Light reflected from an object contains a range of information about its physical and chemical properties. Changes in the physical properties of an object can sometimes be evident as barely detectable changes of color. Our earlier study (Proceedings of the 15th Color Imaging Conference, Albuquerque, New Mexico, 2007. p 195-200) proposed a method for designing a spectral filter to enhance visual discrimination. Two filters were designed: one to discriminate skin and vein colors on human arms, and other to discriminate human facial colors in the presence and absence of cosmetics. In this study, the filters with theoretically designed spectral transmittances were implemented as real optical filters. Visual inspection of RGB color images taken with a digital camera through the developed optical filters showed clear enhancement of discrimination of two preselected colors.

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Color Enhancement in Multispectral Image Using the Karhunen-Loeve Transform

Cited by 23 publications

References 7 publications

Multichannel Spectral Image Enhancement for Visualizing Diabetic Retinopathy Lesions

Multichannel Spectral Image Enhancement for Visualizing Diabetic Retinopathy Lesions

Multispectral Enhancement Method to Increase the Visual Differences of Tissue Structures in Stained Histopathology Images

Optical implementation of spectral filtering for the enhancement of skin color discrimination

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