Cigarette Filter Rod Measure Based on Morphological Image Processing

2012 ◽  
Vol 538-541 ◽  
pp. 2121-2124
Author(s):  
Yuan Feng Huang ◽  
Di Feng Zhang ◽  
De Wen Guo ◽  
Shu Bin Yang
Keyword(s):  
Absolute Error ◽  
Morphological Processing ◽  
Target Image ◽  
Cigarette Filter ◽  
Morphological Image Processing ◽  
Sobel Operator ◽  
Correlation Parameters ◽  
Binary Filter ◽  
Morphological Image ◽  
High Measure

Traditional touch measure method has the shortages of easily distorting cigarette filter rod, long measure time, not high measure precision and not online implementing. In order to overcome these, imaging measure technology is used to measure it. Firstly, preprocessing filtering is operated on the acquired image. Then sobel operator is used to detect the edge and binary filter rod target image is obtained through morphological processing after falsehood edge eliminating. After that correlation parameters are gained. Parameters measuring absolute error for two images acquired from the same filter rod under different illumination is 1.848%. Experiment proves that the proposed method can rapidly and correctly measure cigarette filter rod. It can effectively measure filter rod in practice.

scholarly journals Urban Road Change Detection using Morphological Processing

2021 ◽  
Vol 1 (1) ◽  
pp. 57-61
Author(s):  
Ei Phyu Sin Win
Keyword(s):  
Google Earth ◽  
Morphological Processing ◽  
Road Extraction ◽  
Morphological Image Processing ◽  
Extraction Algorithm ◽  
Different Seasons ◽  
Matlab Programming ◽  
The City ◽  
The Town ◽  
Morphological Image

The primary point of this research is to design a road extraction algorithm for processing National Aeronautics and Space Administration satellite pictures. Roadway network detection is one of the important appointments for calamity emergency response, smart shipping structures, and real-time modify roadway network. Everyone is trying to detect road; this system is useful for urban or rural developing schedule. The development of a town / village depends not only on the building and population density of the town or village, but also in the systematic development of roads. The research focused on finding ways to use morphological image processing primarily. As an application area, we use National Aeronautics and Space Administration imagery obtained from 2009-2020 in Monywa, Upper Myanmar to find out how the roads have been developed and how the city has been developed. Extraction road from planet pictures is hard matter with many realistic application programs. The primary points in the model are the advancement of the picture, the segmentation of that picture, the application of the morphological operators, and finally the detection of the roadway network. Use Google Earth Pro to get the necessary data photos and search for road improvements. After collecting images from different seasons and years, we can find precise answers by combining them with precise algorithms. In addition to significant, benefits of Google Earth Pro, this research demonstrates the ability to make good use of satellite imagery and to integrate it with outside experts to save money, save time, and provide accurate answers. It is simulated with MATLAB programming language.

scholarly journals A Hybrid Image Filtering Method for Computer-Aided Detection of Microcalcification Clusters in Mammograms

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaoyong Zhang ◽  
Noriyasu Homma ◽  
Shotaro Goto ◽  
Yosuke Kawasumi ◽  
Tadashi Ishibashi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Cancer Control ◽  
Accurate Method ◽  
Morphological Processing ◽  
Morphological Image Processing ◽  
Key Issues ◽  
Microcalcification Clusters ◽  
Morphological Image ◽  
Breast Cancer Control

The presence of microcalcification clusters (MCs) in mammogram is a major indicator of breast cancer. Detection of an MC is one of the key issues for breast cancer control. In this paper, we present a highly accurate method based on a morphological image processing and wavelet transform technique to detect the MCs in mammograms. The microcalcifications are firstly enhanced by using multistructure elements morphological processing. Then, the candidates of microcalcifications are refined by a multilevel wavelet reconstruction approach. Finally, MCs are detected based on their distributions feature. Experiments are performed on 138 clinical mammograms. The proposed method is capable of detecting 92.9% of true microcalcification clusters with an average of 0.08 false microcalcification clusters detected per image.

Cigarette Filter Rod Parameter Measure Based on Otsu Image Processing

2013 ◽  
Vol 341-342 ◽  
pp. 635-639
Author(s):  
Shu Bin Yang ◽  
Lu Jin ◽  
Ling Han Zhang ◽  
Shu Long Fu
Keyword(s):  
Image Processing ◽  
Feature Extraction ◽  
Absolute Error ◽  
Segmentation Method ◽  
Target Image ◽  
Target Feature ◽  
Cigarette Filter

Traditional contacting measure method can easily cause cigarette filter rod distortion and needs long measure time. Its measure precision is difficult to satisfy practice demand and it cannot implement online measure. In order to overcome these shortages, imaging measure technology is used to measure cigarette filter rod parameters. Firstly, preprocessing filtering is operated on the image acquired from imaging measure system. Then binary cigarette filter rod target image is obtained through Otsu segmentation method. After that target feature extraction is processed and correlative parameters of cigarette filter rod are gained. Parameters measuring absolute error for two images which are acquired from the same cigarette filter rod under different illumination is 0.683%. Experiment proves that the proposed method can rapidly and correctly measure cigarette filter rod and has good robust and adaptability. It can effectively measure cigarette filter rod in practice.

scholarly journals A Novel Traffic Tracking System Based on division of Video into Frames and Processing

2013 ◽  
pp. 255-259
Author(s):  
Prabhakar Telagarapu ◽  
B. Jagdishwar Rao ◽  
J. Venkata Suman ◽  
K. Chiranjeevi
Keyword(s):  
Tracking System ◽  
Relative Size ◽  
Morphological Processing ◽  
Binary Image ◽  
Video Frame ◽  
Gray Scale ◽  
Binary Images ◽  
Morphological Image Processing ◽  
Car Detection ◽  
Analysis Technique

The objective of this paper is to visualize and analyze video.Videos are sequence of image frames. In this work, algorithm will be developed to analyze a frame and the same will be applied to all frames in a video. It is expected see unwanted objects in video frame, which can be removed by converting colour frames into a gray scale and implement thresh holding algorithm on an image. Threshold can be set depending on the object to be detected. Gray scale image will be converted to binary during thresh holding process. To reduce noise, to improve the robustness of the system, and to reduce the error rate in detection and tracking process, morphological image processing method for binary images is used. Morphological processing will be applied on binary image to remove small unwanted objects that are presented in a frame. A developed blob analysis technique for extracted binary image facilitates pedestrian and car detection. Processing blob’s information of relative size and location leads to distinguishing between pedestrian and car. The threshold, morphological and blobs process is applied to all frames in a video and finally original video with tagged cars will be displayed.

Sign in / Sign up

Export Citation Format

Share Document