<p>A) 606×480 pixel image of a lung slide acquired at 200×magnification (original images were acquired in RGB color). B) Manually thresholded and repaired image. C) Automatically thresholded image. Subtle differences between the thresholding methods can be seen upon inspection.</p
Purpose: Medical additive manufacturing requires standard tessellation language (STL) models. Such m...
All images were percentile-segmented. ‘Upper threshold’ is given as a percentile, expressed as a dec...
<p>FDK reconstructions of gated data obtained with the reference high-dose protocol (A) and with the...
Image thresholding is a powerful yet simple method to highlight the subject from its background in i...
A comparison between the new method, the pixel counting, and simple thresholding detection methods b...
<p>In spite of the subtle differences between thresholding methods (see <a href="http://www.plosone....
A novel method of automatic threshold selection based on a simple image statistic is proposed. The m...
Images are examined and discretized numerical capacities. The goal of computerized image processing ...
In digital image processing, thresholding is a well-known technique for image segmentat ion. Because...
International audienceImage thresholding is definitely one of themost popular segmentation approache...
International audienceAn iterative generic algorithm has been developed to compare three thresholdin...
<p>A) H&E stained image acquired at 200×magnification. B) Threshold of image distinguishes tissue fr...
Image binarization is the process of separation of pixel values into two groups, black as background...
Contains fulltext : 88431.pdf (publisher's version ) (Open Access)BACKGROUND: Rece...
Histological tissue examination has been a longstanding practice for cancer diagnosis where patholog...
Purpose: Medical additive manufacturing requires standard tessellation language (STL) models. Such m...
All images were percentile-segmented. ‘Upper threshold’ is given as a percentile, expressed as a dec...
<p>FDK reconstructions of gated data obtained with the reference high-dose protocol (A) and with the...
Image thresholding is a powerful yet simple method to highlight the subject from its background in i...
A comparison between the new method, the pixel counting, and simple thresholding detection methods b...
<p>In spite of the subtle differences between thresholding methods (see <a href="http://www.plosone....
A novel method of automatic threshold selection based on a simple image statistic is proposed. The m...
Images are examined and discretized numerical capacities. The goal of computerized image processing ...
In digital image processing, thresholding is a well-known technique for image segmentat ion. Because...
International audienceImage thresholding is definitely one of themost popular segmentation approache...
International audienceAn iterative generic algorithm has been developed to compare three thresholdin...
<p>A) H&E stained image acquired at 200×magnification. B) Threshold of image distinguishes tissue fr...
Image binarization is the process of separation of pixel values into two groups, black as background...
Contains fulltext : 88431.pdf (publisher's version ) (Open Access)BACKGROUND: Rece...
Histological tissue examination has been a longstanding practice for cancer diagnosis where patholog...
Purpose: Medical additive manufacturing requires standard tessellation language (STL) models. Such m...
All images were percentile-segmented. ‘Upper threshold’ is given as a percentile, expressed as a dec...
<p>FDK reconstructions of gated data obtained with the reference high-dose protocol (A) and with the...