An Approach Fractal and Analysis of Variogram for Edge Detection of Biomedical Images

Hamami, Latifa; Lassouaoui, Nadia

doi:10.1007/3-540-45723-2_40

Cited by 4 publications

(1 citation statement)

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“…Since Marr conjecture proposed and wavelet-based image processing were depth studied, a series of multiscale edge detection method based on wavelet appeared [4,5,6]. In which the method based on gradient operator is the most widely used methods [7,8,9,10]. In addition, the gradient operator is also widely used in image feature analysis and automatic focusing systems.…”

Section: Introductionmentioning

confidence: 99%

Analyzing of the Image Characteristic Base on Potential Field Distraction Function

Shan

Shi

Li³

et al. 2013

AMM

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A new definition of potential field distribution function of image was proposed, and the characteristics of the distribution function were analyzed. Distribution function of potential field represents whole fluctuant information of image. So it can be used to analyze the image characteristics. Potential field of image background is weak and correspond to Gaussian distribution. Low stage of potential field distribution function can be used to evaluate noise level of image. Inflection point of the amplitude distribution function of potential field represented the transition point between the background and the actual edge in potential field image. So value of this point can be used as the threshold value to identify edge. When object distance of microscope changes, the edge comes more and more clear, and the edge area judged by the method above will be bigger and bigger. This character can be used to instruct auto-focus process.

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Section: Introductionmentioning

confidence: 99%