High-order derivatives in measurement of mobility in HEMT devices

Rafael, G.; Fernández, T.; Rodriguez‐Tellez, J.; Tazón, A.; Mediavilla, A.

doi:10.1049/el:20040333

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The Image Segmentation1

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2011

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“…Therefore in the work we used the Canny edge detector [12] which is the most powerful edge detector provided to segment image. Canny edge detector is an approach to find places where the first derivative of the intensity is greater in magnitude than a special threshold, and it can be summarized as follow [13]: Consequently, the threshold value of Canny edge detector has a great influence on result, and the value of σ was also important. Using the default threshold value…”

Section: The Image Segmentationmentioning

confidence: 99%

Automatic Identification of Diatoms with Circular Shape using Texture Analysis

Luo¹,

Gao²,

Luo³

et al. 2011

JSW

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Diatoms are unicellular microscopic algae found in practically any moist environment. Identification of diatom has application in many disciplines, including ecology, archaeology and forensic science. In recent years, the work has been undertaken for automatic identification of diatom. However, the diatom with circular shape has not yet been considered as the uttermost goal of the research. In this research, a method based on texture feature for automatic identification of circular diatom images is presented. We aimed in this research to find the exact location of diatom by using the image segmentation and segmentation adjustment first, and then obtain eigenvectors by Fourier spectrum features, and finally use a BP neural network to effectively classify the diatoms with circular shape

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Section: The Image Segmentationmentioning

confidence: 99%