spatial analysis of aeolian landforms by fractal theory (case study: ardestan rig) abstract natural sciences face to a great revolution, nowadays. now, scientists think the world as a collection of complex systems which prediction of consequences of this complex systems is so difficult. in this situation the systems have rotational act so irregularly lead to regular and regularly lead to irregu...

A large volume of image data is usually stored in the digital library system in a compressed form. Attempts are now being made to perform image processing tasks using the compressed form of images, which can be accessed directly from digital library. The present chapter is focused on two algorithms. In the first algorithm a fractal based image compression technique using genetic algorithms has ...

As the identification of surface defects is very important in fruit automatic detection, a new method for the detection of fruit surface defects based on fractal dimension is suggested. In this method, fruit image was collected using computer vision system. The fractal dimension of fruit image was calculated by an improved ‘box dimension’. The fruit fractal dimension reflects the three dimensio...

Because of the specialty of the undersea channel and the complexity of imaging environment, serious impact on image segmentation and target identification is caused by several uncertain factors in undersea image. This paper proposes a fuzzy pattern recognition approach for undersea image based on fractal features, and realizes reliable target classification in undersea image. Experiments prove ...

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_...

This paper presents a new method for isolated Farsi/Arabic characters and digits recognition. Fractal codes which are determined by a fractal encoding method are used as feature in this system. Fractal image compression is a relatively recent technique based on the representation of an image by a contractive transform for which the fixed point is close to the original image. Each fractal code c...

This paper is concerned with the development of a computational methodology based on fractal geometry for determining 3D structure of protein with imagery projection operations. In this investigation, the density-map image is a 2D projection of the 3D electron density map according to its depth of the density distribution along the projection direction. We extract fractal features of the densit...

Based on the standard fractal transformation in the spatial domain, simple relations may be found relating coefficients in detail(high-pass) subbands in the wavelet domain. In this paper, we devise a hybrid image compression using fractal-wavelet prediction where the causal similarity among blocks of different subbands in a wavelet decomposition of the image is exploited. The proposed coding sc...

Fractal image compression is a relatively recent image compression method which exploits similarities in different parts of the image. The basic idea is to represent an image by fractals and each of which is the fixed point of an Iterated Function System (IFS). Therefore, an input image can be represented by a series of IFS codes rather than pixels. In this way, an impressive compression ratio ...

In this paper we propose a new method for face recognition using fractal codes. Fractal codes represent local contractive, affine transformations which when iteratively applied to range-domain pairs in an arbitrary initial image result in a fixed point close to a given image. The transformation parameters such as brightness offset, contrast factor, orientation and the address of the correspondi...