| |
Browse All Reviews > Computing Methodologies (I) > Image Processing And Computer Vision (I.4) > Enhancement (I.4.3) > Grayscale Manipulation (I.4.3...)
|
|
 |
|
|
| |
|
|
| |
1-4 of 4
Reviews about "Grayscale Manipulation (I.4.3...)":
|
Date Reviewed |
| |
Maximum entropy-based optimal threshold selection using deterministic reinforcement learning with controlled randomization
Yin P. Signal Processing 82(7): 993-1006, 2002. Type: Article
The problem of (semi-)automatic thresholding of gray level images is addressed in this paper. Entropy-based optimal threshold selection has been widely used in this application. In particular, images with bimodal (or bilevel) histogra...
|
Mar 14 2003 |
| |
Scale-Space From Nonlinear Filters
Bangham J., Ling P., Harvey R. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(5): 520-528, 1996. Type: Article
Vision systems seek to remove fine detail in order to estimate features such as scale, position, and identity of objects in an image. Scale-space causality refers to the ability to preserve, as the scale is modified, the spatial relati...
|
Mar 1 1997 |
| |
Minimum error thresholding
Kittler J., Illingworth J. Pattern Recognition 19(1): 41-47, 1986. Type: Article
This image processing paper presents a more efficient thresholding method, one based on a classification approach. The method optimizes a criterion involving the average pixel classification error rate. The method handles multiple thre...
|
Dec 1 1987 |
| |
Adaptive gray scale mapping to reduce registration noise in difference images
Knoll T., Delp E. Computer Vision, Graphics, and Image Processing 33(2): 129-137, 1986. Type: Article
Subtracting two images brought into registration makes the changes between them apparent. However, any slight misalignment will produce registration noise. Blurring eliminates this noise, but at the cost of degrading real differences; ...
|
Sep 1 1987 |
| |
|
|
| |
|
