This paper proposes an improved version for the JSEG color image segmentation algorithm, combining the classical JSEG algorithm with a local fractal operator that measures the fractal dimension of each pixel, thus improving the boundary detection. Furthermore, the sensitivity of color variation is enhanced when working with the original color value, instead of quantized color information. Exper...

Paddy is one of major crops grown in China. Fractal dimension is an important parameter used to describe geometrical characteristics of many natural objects. The objective of this study is to investigate mathematical relationships between the fractal dimension and the yield of the paddy spike based on the fractal theory and the image processing technologies. The color images of paddy spikes wer...

Image compression techniques based on wavelet and fractal coding have been recognized signiicantly useful in image texture classiication and discrimination. In fractal coding approach, each image is represented by a set of self-transformations through which an approximation of the original image can be reconstructed. These transformations of images can be utilized to distinguish images. The fra...

Owing to the growth of technology there is a need for high performance and high capacity systems to efficiently utilize the bandwidth during transmission of images. Hence Compression of medical Images is required for data storage and transmission. One such compression algorithms which is found effective for medical images is fractal image compression. Fractal image compression (FIC) is a lossy ...

Fractal image compression is a block based technique. The blocks of the underlying image partition are called range blocks. Like all block based techniques, fractal coding suffers from blocking artifacts, in particular at high compression ratios. Moreover, due to the recursive nature of the fractal decoder blocking artifacts also show up in the interior of the range blocks. This paper proposes ...

Today, in the multimedia encoding technology, fractal image coding is an effective coding method without resolution. The effectiveness is because of the high compressing ratio of fractal image coding. But the computational complexity of this coding method is so high that it needs long encoding time. In this paper, a novel fast fractal coding method is constructed to decrease the coding time by ...

The task of object recognition in image processing and machine vision problems relies on nding good algorithms for one particular low-level processing task: image segmentation. In this report, we apply the concept of fractal dimension to this problem. In particular, we introduce the notion of a local fractal operator that can \measure" the fractal dimension of a single pixel; we investigate thr...

Fractal image compression is promising both theoretically and practically. The encoding speed of the traditional full search method is a key factor rendering the fractal image compression unsuitable for real-time application. The primary objective of this paper is to investigate the comprehensive coverage of the principles and techniques of fractal image compression, and describes the implement...

Fractal codification of images is based on self-similar and self-affine sets. The codification process consists of construction of an operator which will represent the image to be encoded. If a complicated picture can be represented by an operator then it will be transmitted or stored very efficiently. Clearly, this has many applications on data compression. The great disadvantage of the automa...

A new method for fractal image compression is proposed using genetic algorithm (GA) with an elitist model. The self transformation property of images is assumed and exploited in the fractal image compression technique. The technique described utilizes the GA, which greatly decreases the search space for finding the self similarities in the given image. This article presents theory, implementati...