scholarly journals New method for localizing proteins in periodic structures: Fab fragment labeling combined with image processing of electron micrographs.

1977 ◽  
Vol 74 (12) ◽  
pp. 5514-5518 ◽  
Author(s):  
U. Aebi ◽  
B. ten Heggeler ◽  
L. Onorato ◽  
J. Kistler ◽  
M. K. Showe
Keyword(s):  
Image Processing ◽  
Electron Micrographs ◽  
Periodic Structures ◽  
New Method ◽  
Fab Fragment

New method of morphological color image processing

2010 ◽  
Vol 30 (8) ◽  
pp. 2101-2104
Author(s):  
Hong-zhong TANG ◽  
Hui-xian HUANG ◽  
Xue-feng GUO ◽  
Ye-wei XIAO
Keyword(s):  
Image Processing ◽  
Color Image ◽  
New Method ◽  
Color Image Processing

A New Method for Detecting the Diameter and Spatial Location of Tiny Through-Hole

2011 ◽  
Vol 189-193 ◽  
pp. 4186-4190 ◽  
Author(s):  
Zhi Gen Fei ◽  
Jun Jie Guo ◽  
Chang Shi Li
Keyword(s):  
Image Processing ◽  
Function Method ◽  
Optical Axis ◽  
Spatial Location ◽  
Processing Technique ◽  
New Method ◽  
Image Processing Technique ◽  
Experimental Platform ◽  
Digital Image Processing Technique ◽  
Through Hole

Aiming at the problem that the traditional plunged-bar method is difficult to meet the measurement requirement of spatial location of thin and small through-hole, in this paper, the digital image processing technique combined with sub-pixel detection technique is employed, and a new method is proposed to detect the tiny through-holes. The evaluating function method based on the “roundness” of the image of hole is presented to find out the posture parameters of CCD where the optical axis of CCD is parallel to the centerline of hole. Therefore, the spatial location of hole can be easily obtained by these posture parameters. Meanwhile, the diameter of hole can be achieved by means of image measuring technology at calculated posture of CCD. Owing to the non-contact measurement, this method is particularly suitable for those small through-holes drilled on the soft and easy-deformed object. The experiment results on the experimental platform illustrate the feasibility and validity of this method.

Image Processing of Electron Micrographs for Light Scattering Calculations

Cornea ◽  
1993 ◽  
Vol 12 (6) ◽  
pp. 466-474 ◽  
Author(s):  
D E Freund ◽  
R L McCally ◽  
A D Goldfinger ◽  
R A Farrell
Keyword(s):  
Image Processing ◽  
Light Scattering ◽  
Electron Micrographs

Image processing of dark-field electron micrographs

1976 ◽  
Vol 9 (2) ◽  
pp. 175-181 ◽  
Author(s):  
W Krakow ◽  
K B Welles ◽  
B M Siegel
Keyword(s):  
Image Processing ◽  
Electron Micrographs ◽  
Dark Field ◽  
Field Electron ◽  
Dark Field Electron

scholarly journals A method for presenting biomedical images based on a model of receptive fields of human visual perception

2021 ◽  
Vol 2091 (1) ◽  
pp. 012027
Author(s):  
V E Antsiperov ◽  
V A Kershner
Keyword(s):  
Image Processing ◽  
Visual Perception ◽  
Bayesian Learning ◽  
Signal To Noise Ratio ◽  
Receptive Fields ◽  
New Method ◽  
Human Visual Perception ◽  
Signal To Noise ◽  
Biomedical Images ◽  
Local Characteristics

Abstract The paper is devoted to the development of a new method for presenting biomedical images based on local characteristics of the intensity of their shape. The proposed method of image processing is focused on images that have low indicators of the intensity of the recorded radiation, resolution, contrast and signal-to-noise ratio. The method is based on the principles of machine (Bayesian) learning and on samples of random photo reports. This paper presents the results of the method and its connection with modern approaches in the field of image processing.

scholarly journals New Edge Detection Method for Indonesian Batik

2011 ◽  
Vol 2 (1) ◽  
Author(s):  
Thomas Adi Purnomo Shidi ◽  
Suyoto Suyoto
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Edge Detection ◽  
Detection Method ◽  
New Method ◽  
Analysis Method ◽  
Unique Pattern ◽  
Detection Analysis ◽  
Edge Detection Method

Abstrak. Metode Baru Deteksi Tepi untuk Batik Indonesia. Didalam paper ini, diusulkan sebuah metode pendeteksi baru untuk motif batik. Deteksi tepi sudah sangat sering digunakan didalam pemrosesan gambar. Batik motif adalah salah satu contoh gambar yang memiliki bentuk yang unik dan menarik untuk dianalisis. Metode yang digunakan pada paper ini adalam metode canny dan prewit dan akan menghasilkan metode baru yaitu metode Thomas. Perbedaan antara metode dan hasil akan dilihat dari sisi ketepatan, qualitas hasil dan kejelasan. Contoh batik yang akan digunakan adalah motif parang, motife lereng dan udan liris. Ketiga batik tersebut memiliki pola  yang unik. Kata kunci : Canny, Prewitt, Thomas, Batik, Parang, Lereng, Udan liris. Abstract. New Edge Detection Method for Indonesian Batik. In this paper, we propose a new edge detection analysis method on batiks motif. Edge detection has been oftenly  used in computer vision and image processing. Indonesian  Batiks motif are some example of graphic picture that has unique pattern that interesting to analyse. The method that used for example on this paper are canny and prewit and produce a new method, thomas method. the different  amongs the method, the result of comparison appears on quality, accuracy and clarity. The example that we use are parang batiks motive, lereng batiks motive, and udan liris batiks motive. Three of batiks motive above are have unique pattern. Keywords: Canny, Prewitt, Thomas, Batik, Parang, Lereng, Udan liris.

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