Illumination-Invariant Morphological Texture Classification

نویسندگان

  • Allan Hanbury
  • Umasankar Kandaswamy
  • Donald A. Adjeroh
چکیده

We investigate the use of the standard morphological texture characterisation methods, the granulometry and the variogram, in the task of texture classification. These methods are applied to both colour and greyscale texture images. We also introduce a method for minimising the effect of different illumination conditions and show that its use leads to improved classification. The classification experiments are performed on the publically available Outex 14 texture database. We show that using the illumination invariant variogram features leads to a significant improvement in classification performance compared to the best results reported for this database.

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

Novel Methods for Extracting Illumination-invariant Images and Fast Classification of Textures

In this thesis we propose a standardized method for extracting illumination-invariant images and a novel approach for classifying textures. Experiments are also extended to include object classification using the proposed methods. The illumination-invariant image is a useful intrinsic feature latent in color image data. Existing methods of extracting the invariant image are dependent upon the c...

متن کامل

Illumination-Invariant Texture Classification Using Single Training Images

The appearance of a surface texture is highly dependent on illumination. This is why current surface texture classification methods require multiple training images captured under a variety of illumination conditions for each class. We show that a single training image per class can be sufficient if the surfaces are of uniform albedo and smooth and shallow relief, and the illumination is suffic...

متن کامل

Simultaneous surface texture classification and illumination tilt angle prediction

In this paper we investigate the effect of the illuminant tilt rotation over surface textures by analysing a set of image texture features extracted from the co-occurrence matrix. From the behaviour of each texture feature, a simple method able to predict the illuminant tilt angle of test images is developed. Moreover, the method is also used to perform a texture classification invariant to the...

متن کامل

A New Approach for Face Recognition and Age Classification using LDP

The present paper proposes a novel local texture features on facial images that recognise facial images based on the Morphological primitive patterns with grain components (MPP-g) on a Local Directional Pattern (LDP). A LDP feature is obtained by computing the edge response values in all eight directions at each pixel position and generating a code from the relative strength magnitude. The loca...

متن کامل

Illumination and Rotation Invariant Texture Representation

In this paper, we propose a new feature for texture representation that is based on pixel patterns and is independent of the variance of illumination and rotation. A gray scale image is transformed into a pattern map in which edges and lines used to characterize the texture information are classified by pattern matching. The Gabor filters can enhance edge features, however, are not effective in...

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 2005