Wavelet-based autofocusing and unsupervised segmentation of microscopic images
This paper reports on the construction of two new focus measure operators M/sub WT//sup
1/an M/sub WT//sup 2/defined in the wavelet transform domain. M/sub WT//sup 2/provides …
1/an M/sub WT//sup 2/defined in the wavelet transform domain. M/sub WT//sup 2/provides …
Unsupervised multiresolution segmentation for images with low depth of field
Unsupervised segmentation of images with low depth of field (DOF) is highly useful in
various applications. This paper describes a novel multiresolution image segmentation …
various applications. This paper describes a novel multiresolution image segmentation …
Improvements in shape-from-focus for holographic reconstructions with regard to focus operators, neighborhood-size, and height value interpolation
A Thelen, S Frey, S Hirsch… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
This paper presents a shape-from-focus method, which is improved with regard to the
mathematical operator used for contrast measurement, the selection of the neighborhood …
mathematical operator used for contrast measurement, the selection of the neighborhood …
Segmenting a low-depth-of-field image using morphological filters and region merging
C Kim - IEEE Transactions on Image Processing, 2005 - ieeexplore.ieee.org
We propose a novel algorithm to partition an image with low depth-of-field (DOF) into
focused object-of-interest (OOI) and defocused background. The proposed algorithm unfolds …
focused object-of-interest (OOI) and defocused background. The proposed algorithm unfolds …
Vision-guided robot system for picking objects by casting shadows
We present a complete vision-guided robot system for model-based three-dimensional (3D)
pose estimation and picking of singulated 3D objects. Our system employs a novel vision …
pose estimation and picking of singulated 3D objects. Our system employs a novel vision …
[图书][B] Stochastic image processing
CS Won, RM Gray - 2013 - books.google.com
Stochastic Image Processing provides the first thorough treatment of Markov and hidden
Markov random fields and their application to image processing. Although promoted as a …
Markov random fields and their application to image processing. Although promoted as a …
Unsupervized video segmentation with low depth of field
In this paper, a novel segmentation algorithm based on matting model is proposed to extract
the focused objects in low depth-of-field (DoF) video images. The proposed algorithm is fully …
the focused objects in low depth-of-field (DoF) video images. The proposed algorithm is fully …
Image analysis and computer vision: 1998
A Rosenfeld - Computer vision and image understanding, 1999 - Elsevier
This paper presents a bibliography of over 2250 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include computational …
image analysis, arranged by subject matter. The topics covered include computational …
Automatic object segmentation in images with low depth of field
The paper describes an automatic object segmentation algorithm for images with low depth
of field (DOF). The low DOF images are segmented into two regions, namely, focused …
of field (DOF). The low DOF images are segmented into two regions, namely, focused …
Fast extraction of objects of interest from images with low depth of field
In this paper, we propose a novel unsupervised video object extraction algorithm for
individual images or image sequences with low depth of field (DOF). Low DOF is a popular …
individual images or image sequences with low depth of field (DOF). Low DOF is a popular …