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.

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.

scholarly journals New method for the detection of neurocysticercosis cysts in MRI by image processing

IBRO Reports ◽  
2019 ◽  
Vol 6 ◽  
pp. S137
Author(s):  
Laura Baquedano Santana ◽  
Javier Bustos ◽  
Gianfranco Arroyo ◽  
Juan Chacaltana ◽  
Manuel Forero ◽  
...  
Keyword(s):  
Image Processing ◽  
New Method

A new method of image processing in the analysis of axisymmetric drop shapes

2005 ◽  
Vol 255 (1-3) ◽  
pp. 193-200 ◽  
Author(s):  
M.G. Cabezas ◽  
A. Bateni ◽  
J.M. Montanero ◽  
A.W. Neumann
Keyword(s):  
Image Processing ◽  
New Method

Study on Object Slight Displacement Measure Using Digital Image Hologram Method

2013 ◽  
Vol 347-350 ◽  
pp. 278-281
Author(s):  
Kun Yang ◽  
Peng Li ◽  
Yan Kun Tang ◽  
Yan Nan Zhai ◽  
Hui Zhang
Keyword(s):  
Digital Image ◽  
New Method ◽  
Hologram Recording ◽  
Double Exposure ◽  
Digital Hologram ◽  
Interference Fringes ◽  
Recording Material ◽  
Experimental Effect ◽  
Exposure Method ◽  
Slight Displacement

Digital image hologram and double exposure method is used to measure displacement of an object in this paper, the intensity of object light has been increased effectively, the contrast of interference fringes has been improved, clear interference fringes has been gotten. A new method has been proposed that CCD and EALCD are applied in order to record the digital hologram and interference fringes, the drawback is avoided successfully that fixing, relocation and nonlinear recording of traditional hologram recording material are. Better experimental effect is achieved.

Algorithm for Real-Time Image Processing in the Robot Soccer

2011 ◽  
Vol 143-144 ◽  
pp. 737-741 ◽  
Author(s):  
Hai Bo Liu ◽  
Wei Wei Li ◽  
Yu Jie Dong
Keyword(s):  
Image Processing ◽  
Color Image ◽  
Vision System ◽  
Color Space ◽  
Color Image Segmentation ◽  
New Method ◽  
Robot System ◽  
Robot Soccer ◽  
Seed Fill ◽  
Time Image

Vision system is an important part of the whole robot soccer system.In order to win the game, the robot system must be more quick and more accuracy.A color image segmentation method using improved seed-fill algorithm in YUV color space is introduced in this paper. The new method dramatically reduces the work of calculation,and speeds up the image processing. The result of comparing it with the old method based on RGB color space was showed in the paper.The second step of the vision sub system is identification the color block that separated by the first step.A improved seed fill algorithm is used in the paper.The implementation on MiroSot Soccer Robot System shows that the new method is fast and accurate.

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