2006
DOI: 10.1016/j.ultrasmedbio.2005.10.007
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Breast ultrasound image enhancement using fuzzy logic

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Cited by 31 publications
(19 citation statements)
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“…That is, the parameters of BUS systems would lead to increased difficulties in providing quantitative and qualitative tumor diagnosis. Since some studies [22], [49] proposed to enhance the texture patterns existing in BUS via fuzzy logic or to estimate the parameters of the ultrasonic devices with log-compressed K-distribution, texture analyses with gray-scale variant feature for these methods via original images or wavelet transform cannot be guaranteed to achieve robust and stable tumor diagnoses in different BUS platforms as well.…”
Section: Discussionmentioning
confidence: 99%
“…That is, the parameters of BUS systems would lead to increased difficulties in providing quantitative and qualitative tumor diagnosis. Since some studies [22], [49] proposed to enhance the texture patterns existing in BUS via fuzzy logic or to estimate the parameters of the ultrasonic devices with log-compressed K-distribution, texture analyses with gray-scale variant feature for these methods via original images or wavelet transform cannot be guaranteed to achieve robust and stable tumor diagnoses in different BUS platforms as well.…”
Section: Discussionmentioning
confidence: 99%
“…The Laws' texture energy measures (TEM) were used to determine the textural properties of the ROIs in the fuzzy domain (Wu et al 1992;Laws 1979). The masks were used to depict the edge and spot features of the scattering (Guo et al 2006). (4) Use the local information to define the enhancement criterion and contrast ratio and enhance the images by modifying the contrast ratio using both the local and global fuzzy information.…”
Section: Images Processingmentioning
confidence: 99%
“…The Laws' texture energy measures (TEM) are used to characterize the textural properties of an image, which are defined as the convolution results with the four 5 ϫ 5 masks: L5 T ϫE5, L5 T ϫS5, E5 T ϫL5 and S5 T ϫL5. The details can be found in Guo et al (2006).…”
Section: Texture Information Extractionmentioning
confidence: 99%