Relative improved differential box-counting approach to compute fractal dimension of gray-scale images

نویسنده

  • Sumitra Kisan
چکیده

ABSTARCTFractal theory is used in image processing. The dimension of complex objects in nature is calculated by Fractal Dimension. Fractal Dimension is used in shape classification, graphic analysis in many fields, texture segmentation. FD‟s can be used to aid in several data mining tasks. Mainly box counting method is used to calculate the FD of an image. In this paper various methods used to calculate the FD of gray scale images are emphasized. Key problems involved in the computation of Differential box count method is presented. Experiments are conducted using the methods and FD is compared.

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

A Comparative Analysis on Estimation of Fractal Dimension of Gray Scale Images

Fractal Dimension (FD) is an essential feature of fractal geometry that characterizes the surface roughness of complex or irritated objects. Though, fractal dimension gradually established its importance in the area of image processing by means of image segmentation, Pattern recognition, texture and medical signal analysis and many more. A number of algorithms for estimation of fractal dimensio...

متن کامل

An Approximated Box Height for Differential-Box-Counting Method to Estimate Fractal Dimensions of Gray-Scale Images

The Fractal Dimension (FD) of an image defines the roughness using a real number which is highly associated with the human perception of surface roughness. It has been applied successfully for many computer vision applications such as texture analysis, segmentation and classification. Several techniques can be found in literature to estimate FD. One such technique is Differential Box Counting (...

متن کامل

Scale-Specific Multifractal Medical Image Analysis

Fractal geometry has been applied widely in the analysis of medical images to characterize the irregular complex tissue structures that do not lend themselves to straightforward analysis with traditional Euclidean geometry. In this study, we treat the nonfractal behaviour of medical images over large-scale ranges by considering their box-counting fractal dimension as a scale-dependent parameter...

متن کامل

Behavior Analysis of Fractal Features for Texture Description in Digital Images: An Experimental Study

Our Goal • Found that Fractal Features effectively have texture recognition ability using statistical, soft computing, data mining and machine learning methods. • Six texture descriptors introduced in [Chaudhuri and Sarkar, 95] are based on the Fractal Dimension of the original and derived images. The studied features were the FDs of: • the original image (F_1), • the high gray-valued image (F_...

متن کامل

Segmentation of Casting Defects in X-Ray Images Based on Fractal Dimension

Considering defect segmentation is the most important and hardest issue for various defects recognition and classification in the X-ray image, a segmentation algorithm based on fractal dimension which is calculated by differential box-counting is investigated to locate defects in the gray-level images. The results indicate that fractal dimension can be a good alternative in defect-segmentation....

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 2015