<p>Demonstrated is the functioning of the algorithm comparing a slice while sweeping the intensity threshold value; presented are three examples where the intensity threshold value is set to 15.000 bits and similarity is 0.12 (A), 25.000 bits and similarity is 0.81 (B) and 35.000 bits and similarity is 0.95 (C); the comparison is done to the previous already-segmented slice (D).</p
In digital image processing, thresholding is a well-known technique for image segmentat ion. Because...
A comparison between the new method, the pixel counting, and simple thresholding detection methods b...
In the last few years, much work has been done in the area of adaptive systems. Most of the work has...
Automatic threshold selection is significant in image segmentation, understanding and recognition. F...
Image binarization is the process of separation of pixel values into two groups, black as background...
A novel method of automatic threshold selection based on a simple image statistic is proposed. The m...
p>Image thresholding is an important field in image processing. It has been employed to segmentnbsp;...
Scale Invariant Feature Transform (SIFT) is widely used in vision systems for various applications s...
[[abstract]]© 1994 Elsevier-This paper presents an adaptive raster-scan thresholding algorithm which...
ABSTRACT Image binarization is the process of separation of pixel values into two groups, black as...
Abstract A performance analysis procedure that analyses the properties of a class of iterative image...
A class of shift-variant reduction operations is introduced, that is useful for performing efficient...
This master thesis focuses on approximate computing applied to image processing. Specifically, the a...
Image thresholding is a powerful yet simple method to highlight the subject from its background in i...
[[abstract]]Thresholding is frequently used for image segmentation. One of the most popular approach...
In digital image processing, thresholding is a well-known technique for image segmentat ion. Because...
A comparison between the new method, the pixel counting, and simple thresholding detection methods b...
In the last few years, much work has been done in the area of adaptive systems. Most of the work has...
Automatic threshold selection is significant in image segmentation, understanding and recognition. F...
Image binarization is the process of separation of pixel values into two groups, black as background...
A novel method of automatic threshold selection based on a simple image statistic is proposed. The m...
p>Image thresholding is an important field in image processing. It has been employed to segmentnbsp;...
Scale Invariant Feature Transform (SIFT) is widely used in vision systems for various applications s...
[[abstract]]© 1994 Elsevier-This paper presents an adaptive raster-scan thresholding algorithm which...
ABSTRACT Image binarization is the process of separation of pixel values into two groups, black as...
Abstract A performance analysis procedure that analyses the properties of a class of iterative image...
A class of shift-variant reduction operations is introduced, that is useful for performing efficient...
This master thesis focuses on approximate computing applied to image processing. Specifically, the a...
Image thresholding is a powerful yet simple method to highlight the subject from its background in i...
[[abstract]]Thresholding is frequently used for image segmentation. One of the most popular approach...
In digital image processing, thresholding is a well-known technique for image segmentat ion. Because...
A comparison between the new method, the pixel counting, and simple thresholding detection methods b...
In the last few years, much work has been done in the area of adaptive systems. Most of the work has...