A novel method for video enhancement - RGB local context-based fusion

Sang, Nguyen Thanh; An, Huynh Van; Lung, Vu Duc

doi:10.1109/ivcnz.2015.7761514

Cited by 2 publications

(1 citation statement)

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“…In this paper, the high resolution images we obtained are RGB images. So we use the following formula depending on the illumination characteristics to fuse the three bands of red, green, and blue, and get the corresponding high resolution panchromatic images [24].…”

Section: Rgb Three Channel Fusionmentioning

confidence: 99%

Recognition of Wheat Spike from Field Based Phenotype Platform Using Multi-Sensor Fusion and Improved Maximum Entropy Segmentation Algorithms

et al. 2018

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Abstract:To obtain an accurate count of wheat spikes, which is crucial for estimating yield, this paper proposes a new algorithm that uses computer vision to achieve this goal from an image. First, a home-built semi-autonomous multi-sensor field-based phenotype platform (FPP) is used to obtain orthographic images of wheat plots at the filling stage. The data acquisition system of the FPP provides high-definition RGB images and multispectral images of the corresponding quadrats. Then, the high-definition panchromatic images are obtained by fusion of three channels of RGB. The Gram-Schmidt fusion algorithm is then used to fuse these multispectral and panchromatic images, thereby improving the color identification degree of the targets. Next, the maximum entropy segmentation method is used to do the coarse-segmentation. The threshold of this method is determined by a firefly algorithm based on chaos theory (FACT), and then a morphological filter is used to de-noise the coarse-segmentation results. Finally, morphological reconstruction theory is applied to segment the adhesive part of the de-noised image and realize the fine-segmentation of the image. The computer-generated counting results for the wheat plots, using independent regional statistical function in Matlab R2017b software, are then compared with field measurements which indicate that the proposed method provides a more accurate count of wheat spikes when compared with other traditional fusion and segmentation methods mentioned in this paper.

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Section: Rgb Three Channel Fusionmentioning

confidence: 99%