Pseudo-Gray Techniques For The Black And White Display Of Color Images

1981 ◽  
Author(s):  
Paul G. Roetling
Keyword(s):  
Color Images ◽  
Black And White

scholarly journals Color Metallography

2005 ◽  
Vol 13 (6) ◽  
pp. 22-27 ◽  
Author(s):  
George F. Vander Voort
Keyword(s):  
Digital Imaging ◽  
Color Images ◽  
Vast Number ◽  
Human Eye ◽  
Black And White ◽  
Color Metallography ◽  
The Cost

Color has historically seen limited use in metallography, mainly due to the cost of film and prints and the difficulty and cost of reproducing images in publications. However, with the growth of digital imaging, capturing color images is much simpler and cheaper. Also, printing images in color is inexpensive for in-house reports, and can be distributed cheaply on CDs, although reproduction in journals is still expensive. Color does have many advantages over black and white. First, the human eye is sensitive to only about forty shades of gray from white to black, but is sensitive to a vast number of colors. Tint etchants reveal features in the microstructure that often cannot be revealed using standard black and white etchants.

Transgenic expression of a GFP-rhodopsin COOH-terminal fusion protein in zebrafish rod photoreceptors

2002 ◽  
Vol 19 (4) ◽  
pp. 547-547
Author(s):  
BRIAN D. PERKINS ◽  
PAMELA M. KAINZ ◽  
DONALD M. O'MALLEY ◽  
JOHN E. DOWLING
Keyword(s):  
Fusion Protein ◽  
Color Images ◽  
Rod Photoreceptors ◽  
Transgenic Expression ◽  
Visual Neuroscience ◽  
Black And White ◽  
Production Error

(Article appeared in Visual Neuroscience (2002), 19, 257–264.)Due to a production error, we are reprinting the following article because the color images were printed in black and white. The color images are so very important to the understanding of this article, we are reprinting it here with the color images in place.

scholarly journals Canvas and cosmos: Visual art techniques applied to astronomy data

2017 ◽  
Vol 26 (04) ◽  
pp. 1730010 ◽  
Author(s):  
Jayanne English
Keyword(s):  
Visual Art ◽  
Human Perception ◽  
Physical Reality ◽  
Color Images ◽  
Color Theory ◽  
Electromagnetic Spectrum ◽  
Public Outreach ◽  
Black And White ◽  
Scientific Results ◽  
Technical Construction

Bold color images from telescopes act as extraordinary ambassadors for research astronomers because they pique the public’s curiosity. But are they snapshots documenting physical reality? Or are we looking at artistic spacescapes created by digitally manipulating astronomy images? This paper provides a tour of how original black and white data, from all regimes of the electromagnetic spectrum, are converted into the color images gracing popular magazines, numerous websites, and even clothing. The history and method of the technical construction of these images is outlined. However, the paper focuses on introducing the scientific reader to visual literacy (e.g. human perception) and techniques from art (e.g. composition, color theory) since these techniques can produce not only striking but politically powerful public outreach images. When created by research astronomers, the cultures of science and visual art can be balanced and the image can illuminate scientific results sufficiently strongly that the images are also used in research publications. Included are reflections on how they could feedback into astronomy research endeavors and future forms of visualization as well as on the relevance of outreach images to visual art. (See the color online PDF version at http://dx.doi.org/10.1142/S0218271817300105 ; the figures can be enlarged in PDF viewers.)

scholarly journals The Sunshine State In Color : The Autochromes Of Charles Zoller

2021 ◽  
Author(s):  
Selina Lamberti
Keyword(s):  
New York ◽  
Twentieth Century ◽  
North America ◽  
The State ◽  
Color Images ◽  
Black And White ◽  
Upstate New York ◽  
Early Twentieth Century ◽  
Popular Images

Charles C. Zoller (1856-1934) was prolific photographer and native of Rochester, New York. His archive is held at George Eastman International Museum of Photography and Film and consist of over 8,000 photographic objects, just under 4,000 of which are autochrome plates. This thesis focuses on the approximately 317 Zoller autoochromes of Florida that make up a small fraction of the fonds This thesis furthermore considers the visual representatin of Florida in color in the early twentieth century and compares tropes in this imagery to Zoller's representation of the Sunshine State. Traveling and photographing extensively in North America and Europe, Zoller produced both color images with Lunière Autochrome plates and black-and-white images with various photographic products. Upon return to Upstate New york, Zoller gave lectures on a variety of topics, illustrating these lectures with projected autochromes and lantern slides. Since there are few know autochromes of Florida, Zoller's series are some of the earliest examples of color photographs of the state. While Zoller's images are often predictable representations of Florida, they nevertheless provide a window into how Florida was presented in the early part of the last century. This thesis compares Zoller's autochromes to other popular images of Florida in that time.

scholarly journals Fish detection using morphological approach based-on k-means segmentation

Compiler ◽  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Shoffan Saifullah ◽  
Andiko Putro Suryotomo ◽  
Bambang Yuwono
Keyword(s):  
Histogram Equalization ◽  
Color Images ◽  
Image Preprocessing ◽  
Morphological Process ◽  
Black And White ◽  
Adaptive Histogram Equalization ◽  
Morphological Approach ◽  
Fish Detection ◽  
Stage 1 ◽  
Initial Process

Image segmentation is a concept that is often used for object detection. This detection has difficulty detecting objects with backgrounds that have many colors and even have a color similar to the object being detected. This study aims to detect fish using segmentation, namely segmenting fish images using k-means clustering. The segmentation process is processed by improving the image first. The initial process is preprocessing to improve the image. Preprocessing is done twice, before segmentation using k-means and after. Preprocessing stage 1 using resize and reshape. Whereas after k-means is the contrast-limited adaptive histogram equalization. Preprocessing results are segmented using k-means clustering. The K-means concept classifies images using segments between the object and the background (using k = 8). The final step is the morphological process with open and close operations to obtain fish contours using black and white images based on grayscale images from color images. Based on the experimental results, the process can run well, with the ssim value close to 1, which means that image information does not change. Processed objects provide a clear picture of fish objects so that this k-means segmentation can help detect fish objects.

Sign in / Sign up

Export Citation Format

Share Document