An analysis of SOBEL and GABOR image filters for identifying fish

Shrivakshan, G. T.

doi:10.1109/icprime.2013.6496457

Cited by 7 publications

(2 citation statements)

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“…Due to noise, segmentation errors overlap in colour images. [3] Identification and segmentation have gained a lot of interest in order to improvise and enhance research domains. In mimicking human eye retina, it requires a bit of knowledge of anatomy and physiology of retina.…”

Section: Problem Depictionmentioning

confidence: 99%

An analysis of CANNY and LAPLACIAN of GAUSSIAN image filters in regard to evaluating retinal image

Dhar

Gupta

Baishnab

2014

2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE)

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This paper deals with the analysis of performance of Canny and Laplacian of Gaussian filter in edge detection of retinal images. Edge detection is one of the methods in image segmentation in Image Processing. Classical methods of edge detection involve convolving the image with an operator (a 2-D filter), which is constructed to be geometry of the operator which determines a characteristic direction in which it is most sensitive to edges. It is important to have efficient edge detection technique. In this paper, comparative analysis of the aforesaid filters is done and found that Canny edge operator performs better than Laplacian of Gaussian filter in most of the varieties of retinal images under various conditions. Here in this paper, we pertain only with human retinal images under diverse conditions. We have shown healthy retina, retina blood vessels, disease affected retina, optic disc etc.

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Section: Problem Depictionmentioning

confidence: 99%

An analysis of CANNY and LAPLACIAN of GAUSSIAN image filters in regard to evaluating retinal image

Dhar

Gupta

Baishnab

2014

2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE)

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“…In the implementation of TBI, Sobel filter [11] is used at this stage in order to find the 2D directional derivatives. Sobel filter is used to calculate the gradient magnitude at each point in each 2D image channel.…”

Section: Horizontal and Verticalmentioning

confidence: 99%

Thumbnail Image with Blurry Edge Information Utilizing Half Factor Rules

Koik

Ibrahim

2014

Mathematical Problems in Engineering

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Thumbnail image with blurry edge information has attracted much attention in recent years. Thumbnail image, which is a tiny version of the original image, enables user to scan through a large proportion of image data for elimination of blurry image or picking up a sharp and a nice image in user’s perspective. The thumbnail image is being utilized commonly in camera, smart phone, and other computing devices. In this paper, a method to embed blurry edge information in thumbnail images is proposed. This method is straight forward and simple to be implemented in electronic products. The image will undergo edge width measurement process by finding the local maximum and local minimum locations based on its edge magnitude. This is obtained after the implementation of horizontal and vertical first order derivatives of the original high resolution input image. The blur edges will be emphasized by utilizing edge width information during downsampling process to enable users to identify blurry edge image distinctively. Experimental results show a satisfactory outcome in embedding blurry characteristics of the original image to thumbnail image on the proposed method.

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