نتایج جستجو برای: component combination image rgb

تعداد نتایج: 1299397  

2015
K. Baranitharan Srinivasa Rao Madane

Colour image enhancement is an emerging research area in various fields like forensics, atmospheric science, astrophotography, oceanography and medical imaging. In this paper an efficient colour image enhancement technique is proposed based on Undecimated Wavelet Transform (UWT). In order to preserve the chromatic information, at first the given RGB image is converted into HSI (Hue, Intensity a...

2002
Johan Wiklund

In this report we describe how an RGB component colour image may be expanded into a set of channel images, and how the original colour image may be reconstructed from these. We also demonstrate the effect of averaging on the channel images and how it differs from conventional averaging. Finally we demonstrate how boundaries can be detected as a change in the confidence of colour state.

2012
Hema Nair

This paper presents a new system developed in Java for pattern recognition and pattern summarisation in multi-band (RGB) satellite images. The system design is described in some detail. Results of testing the system to analyse and summarise patterns in SPOT MS images and LANDSAT images are also discussed. Keywords—Pattern recognition, image analysis, feature extraction, blackboard component, li...

Journal: :Applied optics 2007
Juan L Nieves Eva M Valero Javier Hernández-Andrés Javier Romero

The aim of a multispectral system is to recover a spectral function at each image pixel, but when a scene is digitally imaged under a light of unknown spectral power distribution (SPD), the image pixels give incomplete information about the spectral reflectances of objects in the scene. We have analyzed how accurately the spectra of artificial fluorescent light sources can be recovered with a d...

2012

This paper presents a new system developed in Java for pattern recognition and pattern summarisation in multi-band (RGB) satellite images. The system design is described in some detail. Results of testing the system to analyse and summarise patterns in SPOT MS images and LANDSAT images are also discussed. Keywords—Pattern recognition, image analysis, feature extraction, blackboard component, li...

2005
Te-Wei Chiang Tienwei Tsai

Retrieval by image content has received great attention in the last decades. In this paper, a content-based image retrieval method based on the wavelet transform is proposed. Due to the superiority in multiresolution analysis and spatial-frequency localization, the wavelet transform is applied to extract low-level features from the images. In the image database establishing phase, each image is...

Journal: :JSW 2014
He Xiao Yunbo Rao

We propose a novel method for text localization in low illumination images with complicated background scenes. Low illumination image, complex background and variations of text script make text localization problem challenging. The proposed method use density-based information and rectangle window in the residual edge image. The proposed method firstly is color space conversion from RGB to Ycbc...

2015
Naoto Suzuki

We gave a lecture regarding the principles of endoscopes to students studying medical engineering. The following was the lecture. The light from the light source passed through the rotating RGB filter, and changed to a red, a green, and a blue light, respectively, and these three colored lights illuminated an object. Each light reflected from the object passed through a lens and was received by...

Journal: :JSW 2012
Xuebo Jin Jia Bao Jingjing Du

The brightness adjustment method for the night-vision image enhancement is considered in this paper. The color RGB night-vision image is transformed into an uncorrelated color space--the YUV space. According to the characteristics of the night-vision image, we develop the modified Retinex algorithm based on the S curve firstly, by which the luminance component is enhanced and the brightness of ...

Journal: :International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2020

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