Detection for Position of Suspended Transparent Film in the Water

2011 ◽  
Vol 217-218 ◽  
pp. 9-15
Author(s):  
Zu Rong Qiu ◽  
Rui Cao
Keyword(s):  
Image Processing ◽  
Light Source ◽  
Measurement System ◽  
Image Sensor ◽  
Processing Method ◽  
Contour Detection ◽  
Transparent Film ◽  
Image Information ◽  
The Difference ◽  
Technical Basis

Considering the measurement system for the suspended position of the transparent film in the water, an image processing method based on watershed transform for contour detection has been proposed. The difference between the film and water has been researched by obtaining the image information through the image sensor under special light source. An algorithm of watershed which uses minima imposition to solve the problem of over segmentation for the detection is applied. Depending upon the improved algorithm, which aims to obtain the contour of the film, the target areas in the image integrate together. The result of the position is gained by the image processing technology, which provides the technical basis for automatic operation of catching film in the water.

Input of Japanese Characters by Recognizing the Number of Fingers

2004 ◽  
Vol 16 (4) ◽  
pp. 420-425
Author(s):  
Takashi Yamagishi ◽  
◽  
Kazunori Umeda ◽  
Keyword(s):  
Image Processing ◽  
Input Data ◽  
Image Sensor ◽  
Experimental Results ◽  
Range Image ◽  
Range Images ◽  
Image Information ◽  
Human Gestures

Many recent studies centered on recognizing human gestures using images for man-machine interfaces do not deal with information on Japanese or other characters. We propose inputting Japanese characters by recognizing the number of fingers of one hand. Recognized numbers are converted to characters using the “pocket-bell” rule. The number is recognized by image processing. Range images are used as image information to implement the method. We also discuss how to control recognition timing and canceling input data. Experimental results using a range image sensor show the effectiveness of the proposed methods.

Measurement of Flame Height by Image Processing Method

2011 ◽  
Vol 301-303 ◽  
pp. 983-988
Author(s):  
Li Gang Zheng ◽  
Ming Gao Yu ◽  
Shui Jun Yu ◽  
Chang Lu
Keyword(s):  
Image Processing ◽  
Digital Camera ◽  
Region Of Interest ◽  
Processing Method ◽  
Flame Height ◽  
Jet Flame ◽  
Image Processing Method ◽  
Experimental Parameters ◽  
Flame Region ◽  
The Difference

In order to measure the flame height (Lf), the image processing method was employed. The jet flame image was captured by the common-used digital camera. The resolution (C, with the unit of mm/pixel) of the pixel of the digital camera was calibrated by metric scale. The jet flame image was then successively processed by ROI (region of interest) processing, gray processing, binarization and edge detection. Through the image processing, the pixels where the flame root and the flame tip were located was detected. The flame region expressed in pixels can be easily obtained by the difference between the flame root (X1) and the flame tip(X2). The flame height (Lf) was calculated by multiplying the difference in pixels (Lp= X2-X1) with the resolution of pixel (in millimetres per pixel). Using the proposed method, the flame heights of the pulverized coal jet flame at the high temperature air combustion condition were measured. The effect of experimental parameters on the flame heights of the coal jet flame was discussed.

Crosstalk Minimization Method for Eye-tracking-based 3D Display

2020 ◽  
Author(s):  
Seok Lee ◽  
Juyong Park ◽  
Dongkyung Nam
Keyword(s):  
Image Processing ◽  
Eye Tracking ◽  
Three Dimensional ◽  
Processing Method ◽  
Eye Position ◽  
Relative Location ◽  
3D Display ◽  
Minimization Method ◽  
3D Crosstalk ◽  
Pixel Value

In this article, the authors present an image processing method to reduce three-dimensional (3D) crosstalk for eye-tracking-based 3D display. Specifically, they considered 3D pixel crosstalk and offset crosstalk and applied different approaches based on its characteristics. For 3D pixel crosstalk which depends on the viewer’s relative location, they proposed output pixel value weighting scheme based on viewer’s eye position, and for offset crosstalk they subtracted luminance of crosstalk components according to the measured display crosstalk level in advance. By simulations and experiments using the 3D display prototypes, the authors evaluated the effectiveness of proposed method.

Implications of Digital Image Processing in the Paraclinical Assessment of the Partially Edentated Patient

2018 ◽  
Vol 69 (2) ◽  
pp. 521-524
Author(s):  
Magda Ecaterina Antohe ◽  
Doriana Agop Forna ◽  
Cristina Gena Dascalu ◽  
Norina Consuela Forna
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Treatment Plan ◽  
Digital Processing ◽  
Contour Detection ◽  
Anatomical Structures ◽  
Imaging Processing ◽  
Point To Point ◽  
Radiological Image ◽  
Processing Techniques

The application of certain digital processing techniques offers the possibility of extra accuracy in the interpretation of paraclinical examinations of this type, with profound implications in the diagnosis as well as in the hierarchy of the treatment plan. The purpose of this study is to identify the type of imaging processing for the identification of pathological elements from orthopantomographies and articular tomographies. A number of 20 orthopantomographies and 15 temporo-mandibular joint tomography have undergone through various image enhancement techniques. Various methods of image enhancement (enhancement) have been used for those procedures whereby it becomes more useful in the following aspects: specific details are highlighted; noise is eliminated; the image becomes more visually attractive. The workings were done in Corel PhotoPaint 7.0, using the automatic procedures available.The choice of a particular type of image enhancement technique has been selected for each type of pathology found in orthopantomographies or articular tomography, providing the best accuracy for an optimal imaging interpretation that underpins a precision diagnosis.Of the most useful imaging processing in the optimization of the orthopantomographic image accuracy the point-to-point transformations are to be noted. The image processing proposed in this article focused primarily on improving the radiological image attributes to highlight specific anatomical structures, and secondly, the contour detection, where it was necessary for the diagnostic purposes as well.

scholarly journals Research on Image Processing Method of High Voltage Switchgear Temperature Measurement

2020 ◽  
Vol 440 ◽  
pp. 032111
Author(s):  
Longji Du ◽  
Shi Zhang ◽  
Liming Chen ◽  
Jinglong Ye ◽  
Meiting Ma ◽  
...  
Keyword(s):  
Image Processing ◽  
Temperature Measurement ◽  
High Voltage ◽  
Processing Method ◽  
Image Processing Method
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