Co-occurrence Matrix-Based Image Segmentation

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Co-occurrence Matrix and Fractal Dimension for Image Segmentation

One of the most important tasks in image processing problem and machine vision is object recognition, and the success of many proposed methods relies on a suitable choice of algorithm for the segmentation of an image. This paper focuses on how to apply texture operators based on the concept of fractal dimension and cooccurence matrix, to the problem of object recognition and a new method based ...

متن کامل

Image Retrieval Using Co-occurrence Matrix & Texton Co-occurrence Matrix for High Performance

This paper put forward a new method of co-occurrence matrix to describe image features. In this paper putting a new implemented work which is comparison with texton co-occurrence matrix to describe image features. Maximum work done successfully using texton co-occurrence matrix. A new class of texture features based on the co-occurrence of gray levels at points. These features are compared with...

متن کامل

Set-Permutation-Occurrence Matrix Based Texture Segmentation

We have investigated a combination of statistical modelling and expectation maximisation for a texture based approach to the segmentation of mammographic images. Texture modelling is based on the implicit incorporation of spatial information through the introduction of a set-permutation-occurrence matrix. Statistical modelling is used for data generalisation and noise removal purposes. Expectat...

متن کامل

DBC Co-occurrence Matrix for Texture Image Indexing and Retrieval

In this paper, a new image indexing and retrieval algorithm using multiresolution directional binary code (DBC) co-occurrence matrix is proposed. DBC histogram captures only the patterns distribution in a texture while the spatial correlation between the pair of patterns is gathered by DBC Co-occurrence. Multi-resolution texture decomposition and co-occurrence calculation has been efficiently u...

متن کامل

Binary Co-occurrence Matrix in Image Database Indexing

The use of the second order statistical measures has became popular in the image database indexing and retrieval. Unlike the common approach, image histogram, second order statistics like image correlogram and autocorrelogram consider also the spatial organization of the image colors or gray levels. Recently, correlograms and autocorrelograms have been widely used in the image database indexing...

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

ژورنال

عنوان ژورنال: IEICE Transactions on Information and Systems

سال: 2010

ISSN: 0916-8532,1745-1361

DOI: 10.1587/transinf.e93.d.3128