Multiresolution Texture Analysis of Surface Reflection Images

نویسندگان

  • Leena Lepistö
  • Iivari Kunttu
  • Jorma Autio
  • Ari Visa
چکیده

Surface reflection can be used as one quality assurance procedure to inspect the defects, cracking, and other irregularities occurring on a polished surface. In this paper, we present a novel approach to the detection of defects based on analysis of surface reflection images. In this approach, the surface image is analyzed using texture analysis based on Gabor-filtering. Gabor-filters can be used in the inspection of the surface in multiple resolutions, which makes it possible to inspect the defects of different sizes. The orientation of the defects and surface cracking is measured by applying the Gabor-filters in several orientations. A set of experiments were carried out by using surface reflection images of polished rock plates and the orientation of the surface cracking was determined. In addition, the homogeneity of the rock surface was measured based on the Gabor features. The results of the experiments show that Gabor features are effective in the measurement of the surface properties.

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

Region Completion in a Texture using Multiresolution Transforms

Abstract Natural images, textures and photographs are likely to be impaired by stains.  As a result a substantial portion of the image remains blurred. However, a method called region completion is adopted to fill in the tainted part by using the information from the portion left unblemished by stains. A novel method to perform this operation is proposed in this paper. The three significant sta...

متن کامل

Linear Regression Model on Multiresolution Analysis for Texture Classification

Texture is a surface property which is used to identify and recognize the object. Texture analysis is important in many applications of computer image analysis for classification and segmentation of images based on local spatial patterns of intensity or color. In texture classification the goal is to assign an unknown sample image to one set of known texture classes. The proposed method is text...

متن کامل

Linear Regression Model on Multiresolution Analysis for Texture Classification

Texture is a surface property which is used to identify and recognize the object. Texture analysis is important in many applications of computer image analysis for classification and segmentation of images based on local spatial patterns of intensity or color. In texture classification the goal is to assign an unknown sample image to one set of known texture classes. The proposed method is text...

متن کامل

Iris Identification System Using Tree-Structured Wavelet Algorithm

The unique iris structures motivate the development of an automatic identification system based on iris characteristic. Texture analysis with multichannel filtering approach is meant to extract feature from iris texture images and encode them into a compact and unique information for each iris. One of the tools that can analyze texture image in multiresolution approach is wavelet transform. In ...

متن کامل

On the Characterization of Hyperspectral Texture

Many tools have been proposed in the literature for texture characterization of images. Some of them are based on statistical properties, others on fractal measures and some more on multiresolution analysis. Those methods have been proposed in a scalar point of view to be applied on mono-band images. They do not suit to hyperspectral context where spectral signature of each pixel has to be cons...

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 2003