Adaptive switching median filter

Cai, Zhi; Lee, Tracey K. M.

doi:10.1109/icics.2009.5397741

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…A thorough overview of the principles and operations of ASWM filters can be found elsewhere. 22–25 In this work, an ASWM filter was used to enhance contrast and remove noise from the ICA-generated independent component images. The implementation of the ASWM filter was based on the work of Akkoul et al 26 For the median filter statistics calculation, a 9×9 pixel window size was defined with the central and current pixels corresponding to one another.…”

Section: Methodsmentioning

confidence: 99%

Investigation of Fusarium damage in wheat using hyperspectral imaging: An independent component analysis approach

Nadimi,

Saccon,

Elrewainy

et al. 2023

Journal of Near Infrared Spectroscopy

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With the continuously growing world population in the 21st century, the agri-food industry is in dire need of adopting rapid, eco-friendly, and reliable technologies to improve the quantity, quality, and safety of agri-food products to fulfill the world's future food needs. Hyperspectral imaging (HSI), a technique to glean a sample's spectral and spatial information, is an emerging non-destructive technique that can characterize the quality parameters of agri-food products such as Fusarium damage. Despite its vast potential, HSI systems suffer from enormous data sizes, requiring high computational time and power. One potential solution to overcome the aforementioned challenge is to reduce the data size by removing redundant information. However, detecting small optimum features from a large dataset is not trivial. To this end, an exploratory novel HSI data reduction and analysis technique was investigated and validated to identify Fusarium damage in wheat kernels. Wheat samples at three moisture contents (19, 27, and 35%, wet basis) and seven infection levels (ranging from 0 to 56 days after infection) were imaged at 256 equally spaced wavelengths from 820 to 1666 nm. Firstly, complete HSI data was utilized to successfully characterize sound and Fusarium-damaged wheat kernels using independent component analysis (ICA) algorithm. Then, a genetic algorithm optimization approach was used to reduce the data to ten wavelengths for ICA-based analysis. This data reduction approach reduced the computation time to approximately 1.31% of the original time taken for analyzing the full HSI data without compromising the performance of the system. This preliminary study suggests that such wavelength tailoring could reduce the complexity and price of the imaging hardware, e.g., the use of inexpensive non-tunable filters, and less expensive computational hardware, thereby enabling fast and affordable real-time exploration and sorting of grains. This study, while exploratory, fosters advancements in HSI data processing and identifies certain limitations that open new avenues for future research.

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Section: Methodsmentioning

confidence: 99%

Investigation of Fusarium damage in wheat using hyperspectral imaging: An independent component analysis approach

Nadimi,

Saccon,

Elrewainy

et al. 2023

Journal of Near Infrared Spectroscopy

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show abstract

“…In contrast, a smaller filter should be applied to regions with low level of corruption. Therefore, many works, such as [25], [26], [28][29][30][31][32], have proposed methods that are able to adjust the size of the filter accordingly based on the local noise content. Because the size of the filter is adapted to the local noise content, this type of median filter is known as adaptive median filter.…”

Section: G Adaptive Median Filtermentioning

confidence: 99%

Median Filtering Frameworks for Reducing Impulse Noise from Grayscale Digital Images: A Literature Survey

Teoh¹,

Ibrahim²

2012

IJFCC

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“…When the image is transferred in electronic communication channel, especially in wireless transmission, a noise is considered to be a big common problem and the image will be somewhat changed. In addition, the noise may be corrupted the image during acquisition step, light levels and sensor temperature are the major factors affecting the amount of noise in the resulting images [1], [2]. Image denoising is a very important problem because the quality of image denoising is related to the reliability of all subsequent image processing task.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Switching Filter Based on Cubic B-Spline for Removal of Salt-and-Pepper Noise

Ibrahem¹

2014

IJIGSP

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In this paper, an efficient filter method for salt-and-pepper noise removal is proposed. This method is developed by using cubic B-spline. A noise detector is employed to check whether the selected pixel is noisy or noise free. In this method, noise free pixels are left unaltered. Since not every pixel is filtered, undue distortion can be avoided. Noise pixels are subjected to the filtering operation to reconstruct the intensity values of the noisy pixels. The noise free pixels are only considered in the filter operation. The cubic Bspline is used as a fitting function to generate additional values within the noise free pixels. The noisy pixel is replaced by the mean value of these pixel values. The window size is selected as 3 X 3 in the first step. If all pixels within the window are considered to be noise, then change the selected window size to 5 X 5. If all the pixels within this window are considered to be noise, then the noisy pixel is replaced by the previous resultant pixel. Comparison of the given filter with other existing filters is provided in this paper. The results demonstrate that the proposed technique can obtain better performances than other existing denoising techniques. As a result of this, the proposed method removes the noise effectively even at noise level as high as 97%.Index Terms -Cubic B-spline, denoising techniques, salt-and-pepper noise, switching filter. I

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Adaptive switching median filter

Cited by 8 publications

References 5 publications

Investigation of Fusarium damage in wheat using hyperspectral imaging: An independent component analysis approach

Investigation of Fusarium damage in wheat using hyperspectral imaging: An independent component analysis approach

Median Filtering Frameworks for Reducing Impulse Noise from Grayscale Digital Images: A Literature Survey

An Efficient Switching Filter Based on Cubic B-Spline for Removal of Salt-and-Pepper Noise

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