2008 4th International Conference on Wireless Communications, Networking and Mobile Computing 2008
DOI: 10.1109/wicom.2008.807
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Research on Granulometry Approach to Measuring Microbubbles Size Distribution

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“…for i ← 1 to length(r) do for j ← 1 to length(c) do Texture classification and feature extraction by granulometries have many applications in digital imaging (Khatun et al, 2011a,b;Kupidura and Uwarowa, 2017;Ye and Liu, 2008). In the field of medical imaging, this technique has been used for example in the detection of malaria parasites 4.1 Description of retina background lesions (Ruberto et al, 2000), to measure interstitial chronic damage (Colomé-Serra et al, 1992), in the estimation of trabecular thickness in grey-scale images (Moreno et al, 2012), or in the segmentation of microscopic breast cells (Cherni et al, 2009).…”
Section: Local Fractal Analysismentioning
confidence: 99%
“…for i ← 1 to length(r) do for j ← 1 to length(c) do Texture classification and feature extraction by granulometries have many applications in digital imaging (Khatun et al, 2011a,b;Kupidura and Uwarowa, 2017;Ye and Liu, 2008). In the field of medical imaging, this technique has been used for example in the detection of malaria parasites 4.1 Description of retina background lesions (Ruberto et al, 2000), to measure interstitial chronic damage (Colomé-Serra et al, 1992), in the estimation of trabecular thickness in grey-scale images (Moreno et al, 2012), or in the segmentation of microscopic breast cells (Cherni et al, 2009).…”
Section: Local Fractal Analysismentioning
confidence: 99%