An adaptive Gaussian filter for noise reduction and edge detection

Deng, Guang; Cahill, L.W.

doi:10.1109/nssmic.1993.373563

Cited by 281 publications

(140 citation statements)

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“…The most common and widely used approach for edge detection is canny edge detection. The smoothened image is then filtered with a Sobel kernel in both horizontal and vertical direction to get the first derivative (Gx) and (Gy) [17]. The edge gradient can be determined from these two images and the direction for each pixel is as follows:…”

Section: Robust and Efficient Automated Cataract Detection Algorithmmentioning

confidence: 99%

A Robust Automated Cataract Detection Algorithm Using Diagnostic Opinion Based Parameter Thresholding for Telemedicine Application

Pathak

Kumar

2016

Electronics

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This paper proposes and evaluates an algorithm to automatically detect the cataracts from color images in adult human subjects. Currently, methods available for cataract detection are based on the use of either fundus camera or Digital Single-Lens Reflex (DSLR) camera; both are very expensive. The main motive behind this work is to develop an inexpensive, robust and convenient algorithm which in conjugation with suitable devices will be able to diagnose the presence of cataract from the true color images of an eye. An algorithm is proposed for cataract screening based on texture features: uniformity, intensity and standard deviation. These features are first computed and mapped with diagnostic opinion by the eye expert to define the basic threshold of screening system and later tested on real subjects in an eye clinic. Finally, a tele-ophthamology model using our proposed system has been suggested, which confirms the telemedicine application of the proposed system.

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Section: Robust and Efficient Automated Cataract Detection Algorithmmentioning

confidence: 99%

A Robust Automated Cataract Detection Algorithm Using Diagnostic Opinion Based Parameter Thresholding for Telemedicine Application

Pathak

Kumar

2016

Electronics

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“…According to the actual effect of noise reduction: between multi-scale filter and Gaussian filter, the former caused more edge blur and displacement; between mean filter and Gaussian filter, the effect of noise reduction for concrete digital images is limited using the former one. Hence, Gaussian filter can successfully decline normal distributed noise for digital images (Deng & Cahill, 1993). It recalculates the value of every pixel by taking a weighted average of its greyscale and the surround pixels' greyscale.…”

Section: Image Noise Reductionmentioning

confidence: 99%

Edge Detection of Concrete Mesostructure Based on DIS Operator

Bao¹,

Xu²,

Xia³

et al. 2016

Proceedings of the 5th International Conference on the Durability of Concrete Structures

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Aggregate edge detection is the basis of creating concrete mesoscale model, which is applied to analyze concrete mesoscale characteristics. A concrete digital image edge detection method using DIS operator is presented in this paper. Mean filter, multi-scale filter, and Gaussian filter are compared on the effect of concrete image noise reduction. Based on the result, Gaussian filter is the most optimum method to reduce image noise and remain aggregate edge distinct. Sobel operator, Laplacian operator, and DIS operator are applied respectively to detect the aggregate edge on Gaussian filter processed images. Based on the experiment, DIS operator outperforms other two operators in the veracity and integrity of edge detection. It is concluded that using Gaussian filter and DIS operator for edge segmentation can provide geometrical models for FEM analysis.

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“…Many operators have been introduced in the literature, for example Roberts, Sobel and Prewitt [10][11][12][13][14]. Edges are mostly detected using either the first derivatives, called gradient, or the second derivatives, called Laplacien.…”

Section: Introductionmentioning

confidence: 99%