CT-scout based, semi-automated vertebral morphometry after digital image enhancement

2017 ◽  
Vol 94 ◽  
pp. 195-200 ◽  
Author(s):  
Wojciech M. Glinkowski ◽  
Jerzy Narloch
Keyword(s):  
Image Enhancement ◽  
Digital Image ◽  
Vertebral Morphometry ◽  
Digital Image Enhancement

Digital image enhancement with fuzzy rule-based filtering

2007 ◽  
Author(s):  
M. Mozammel Hoque Chowdhury ◽  
Md. Ezharul Islam ◽  
Nasima Begum ◽  
Md. Al-Amin Bhuiyan
Keyword(s):  
Image Enhancement ◽  
Digital Image ◽  
Fuzzy Rule ◽  
Rule Based ◽  
Digital Image Enhancement

Structure of the regular surface layer of Bacillus polymyxa

1983 ◽  
Vol 29 (7) ◽  
pp. 775-780 ◽  
Author(s):  
S. K. Burley ◽  
R. G. E. Murray
Keyword(s):  
Surface Layer ◽  
Image Enhancement ◽  
Digital Image ◽  
General Scheme ◽  
Bacillus Polymyxa ◽  
Surface Layers ◽  
Regular Surface ◽  
Protein Subunits ◽  
Digital Image Enhancement ◽  
Spore Forming Bacteria

The structure of the regular surface layer of Bacillus polymyxa has been examined to a resolution of 2.5–3.0 nm in electron micrographs of negatively stained preparations supplemented by optical-digital image enhancement. The layer is composed of morphological units, each consisting of four identical protein subunits, and has p4 symmetry with a = 10.0 nm. Within each unit cell are areas of high stain density of a limiting diameter of 2–3 nm, which are interpreted as holes penetrating the layer. A comparison is made with other tetragonal regular surface layers of spore-forming bacteria, B. sphaericus and Sporosarcina ureae, solved to 2.5-nm resolution. These layers are similar in the conformation of their protein units and in the distribution of the holes in the layer. A general scheme for the architecture of the tetragonal regular surface layers is derived.

Digital image enhancement for in vivo laser scanning microscopy

2005 ◽  
Vol 11 (4) ◽  
pp. 248-253 ◽  
Author(s):  
Martin J. Gruber ◽  
Alexandra Wackernagel ◽  
Erika Richtig ◽  
Silvia Koller ◽  
Helmut Kerl ◽  
...  
Keyword(s):  
Image Enhancement ◽  
Digital Image ◽  
Laser Scanning ◽  
Laser Scanning Microscopy ◽  
Scanning Microscopy ◽  
Digital Image Enhancement

scholarly journals Digital Image Enhancement in Matlab: An Overview on Histogram Equalization and Specification

2018 ◽  
Author(s):  
Rezoana Bente Arif ◽  
Mohammad Mahmudur Rahman Khan ◽  
Md. Abu Bakr Siddique
Keyword(s):  
Image Enhancement ◽  
Digital Image ◽  
Color Image ◽  
Histogram Equalization ◽  
Grayscale Image ◽  
Histogram Specification ◽  
Digital Image Enhancement

This paper has two major parts. In the first part histogram equalization for the image enhancement was implemented without using the built-in function in MATLAB. Here, at first, a color image of a rat was chosen and the image was transformed into a grayscale image. After this conversion, histogram equalization was implemented on the grayscale image. Later on, in the same image for each RGB channel, histogram equalization was implemented to observe the effect of histogram equalization on each channel. In the end, the histogram equalization was implemented to this specific color image of a rat. In the second part, for the grayscale image in part 1, the desired histogram of another colored image of a rat was introduced and histogram specification was implemented on the original colored image.

Sign in / Sign up

Export Citation Format

Share Document