Image Processing Algorithm Using Morphology Operator for the Inspection of an Automobile Subassembly

نویسندگان

  • Seok-Min Chae
  • Tae-Wuk Bae
  • Su-Young Ha
  • Young-Choon Kim
  • Sang-Ho Ahn
  • Kyu-Ik Sohng
چکیده

In this paper, we designed the image processing algorithm, which inspects fault of the parts using morphology operator. Input is images of parts and process image registration, and then calculates binary erosion and dilation operator. Compared dilation values and separate into good or error parts of the automobile. The performance of the designed image processing algorithm was verified by performance comparison for experiments. Experiment results show that automatic inspection method used image processing algorithm more faster than manual and this algorithm run high accuracy and stable inspection.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Automatic Detection and Localization of Surface Cracks in Continuously Cast Hot Steel Slabs Using Digital Image Analysis Techniques

Quality inspection is an indispensable part of modern industrial manufacturing. Steel as a major industry requires constant surveillance and supervision through its various stages of production. Continuous casting is a critical step in the steel manufacturing process in which molten steel is solidified into a semi-finished product called slab. Once the slab is released from the casting unit, th...

متن کامل

A multiscale stochastic image model for automated inspection

We develop a novel multiscale stochastic image model to describe the appearance of a complex three-dimensional object in a two-dimensional monochrome image. This formal image model is used in conjunction with Bayesian estimation techniques to perform automated inspection. The model is based on a stochastic tree structure in which each node is an important subassembly of the three-dimensional ob...

متن کامل

A Multiscale Stochastic Image Model for Automated Inspection - Image Processing, IEEE Transactions on

In this paper, we develop a novel multiscale stochastic image model to describe the appearance of a complex threedimensional object in a two-dimensional monochrome image. This formal image model is used in conjunction with Bayesian estimation techniques to perform automated inspection. The model is based on a stochastic tree structure in which each node is an important subassembly of the three-...

متن کامل

Automatic road crack detection and classification using image processing techniques, machine learning and integrated models in urban areas: A novel image binarization technique

The quality of the road pavement has always been one of the major concerns for governments around the world. Cracks in the asphalt are one of the most common road tensions that generally threaten the safety of roads and highways. In recent years, automated inspection methods such as image and video processing have been considered due to the high cost and error of manual metho...

متن کامل

Accurate Fruits Fault Detection in Agricultural Goods using an Efficient Algorithm

The main purpose of this paper was to introduce an efficient algorithm for fault identification in fruits images. First, input image was de-noised using the combination of Block Matching and 3D filtering (BM3D) and Principle Component Analysis (PCA) model. Afterward, in order to reduce the size of images and increase the execution speed, refined Discrete Cosine Transform (DCT) algorithm was uti...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008