Soda Casket Inspection System by Computer Vision

2012 ◽  
Vol 622-623 ◽  
pp. 1425-1429
Author(s):  
Teerapong Orachon ◽  
Pattana Intani
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
High Risk ◽  
Edge Detection ◽  
Template Matching ◽  
Cross Correlation ◽  
Processing Method ◽  
Inspection System ◽  
Image Processing Method

Referred to the problem a manufacturer always faces that bottles in a casket are missing, caused by the bottles leaning down. Checking the parceling by human causes high risk from the explosion of the lean-down bottles. So this article presents how computer vision is applied to the inspection system. The system used a low-price webcam and image processing method to identify the defection. The process begins with adjusting HSV up before working on edge detection to reduce density of data. Then cross correlation as template matching to define the bottles and check the number of soda bottles. This system can identify 84% of completely loaded casket and 100% of the missing loaded casket.

Method of Dynamic Image Processing for Ecology Observation of Marine Life

2013 ◽  
Vol 25 (5) ◽  
pp. 820-829 ◽  
Author(s):  
Yasutake Okuda ◽  
◽  
Hiroki Kamada ◽  
Satoru Takahashi ◽  
Shun’ichi Kaneko ◽  
...  
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
Likelihood Function ◽  
Life Forms ◽  
Processing Method ◽  
Environmental Conservation ◽  
Sensor Nodes ◽  
Dynamic Image ◽  
Marine Life ◽  
Image Processing Method

Changes in the marine environment due to changes in the global environment are problems that have attracted attention in recent years. Consequently, the measurement of marine life forms and the surveying and studying of ecological systems have been extensively conducted from the viewpoint of environmental conservation. This paper proposes a new dynamic image processing method. It enables dynamic measurement of marine life, based on the dynamic images obtained by a marine ecological system measurement and recording support device that consists of various sensor nodes. A dynamic-image marine life detection method in which multi-template matching based on color orientation code matching is applied, and a method of motion estimating marine life, one in which a particle filter consisting of a double-likelihood function is used, are combined to develop a new dynamic image processing method and conduct ecology observations.

scholarly journals Automatic Surface Inspection System for Hot Rolled Slabs by Real Time Image Processing Method

1984 ◽  
Vol 70 (9) ◽  
pp. 1194-1201 ◽  
Author(s):  
Masayoshi IWASAKI ◽  
Yasuhide NAKAI ◽  
Yoshiro NISHIMOTO ◽  
Kunio TSUJI ◽  
Isamu HIROSE ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing Method ◽  
Inspection System ◽  
Surface Inspection ◽  
Image Processing Method ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Hot Rolled ◽  
Time Image

Research on the Condom Image Detection Algorithm for Automatic Sorting

2011 ◽  
Vol 305 ◽  
pp. 315-319
Author(s):  
Zhu Ying ◽  
Chang Hui Li ◽  
Wen Peng Gao
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Hough Transform ◽  
Detection Algorithm ◽  
Processing Method ◽  
Transform Method ◽  
Canny Operator ◽  
Image Detection ◽  
Image Processing Method ◽  
Automatic Sorting

To realize the automatic sorting before electrical testing of condoms, the position of condom ring needs to be discriminated with image processing method. Procedures for ellipse detection are written based on OpenCV, Gauss filter is applied to smooth the collected images, and then Canny operator is used for edge detection, combined with the modified Hough transform method to determine the ellipse center to achieve the effective detection of the condom ring.

Algorithms for segmentation and recognition of objects on medical images based on chiarlet transformation and neural networks

2020 ◽  
pp. 35-45
Author(s):  
Y.A. Hamad ◽  
K.V. Simonov ◽  
A.S. Kents
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Computer Vision ◽  
Edge Detection ◽  
Medical Images ◽  
Classification Algorithms ◽  
Visual Data ◽  
Recognition Of Objects

The paper considers general approaches to image processing, analysis of visual data and computer vision. The main methods for detecting features and edges associated with these approaches are presented. A brief description of modern edge detection and classification algorithms suitable for isolating and characterizing the type of pathology in the lungs in medical images is also given.

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