Fuzzy Techniques for Image Enhancement
نویسندگان
چکیده
The aim of image enhancement is to improve the interpretability or perception of information in images for human viewers, or to provide 'better' input for other automated image processing techniques. Fuzzy techniques can manage the vagueness and ambiguity efficiently (an image can be represented as fuzzy set). Fuzzy logic is a powerful tool to represent and process human knowledge in form of fuzzy if-then rules. The manipulation of these concepts leads to theory of approximation using fuzzy systems in image processing. In recent years, many researchers have applied the fuzzy logic to develop new image processing algorithms. The fuzzy image processing is one of the important application areas of fuzzy logic. In this thesis the algorithm is proposed using fuzzy membership function. This algorithm enhances image contrast very effectively. If the observed data are disturbed by random noise then the intensifier operator should convert the probabilistic data into fuzzy data. Some images are not available to good quality, so proposed fuzzy algorithm can be used for image enhancement to improve the quality of images. All the implementation work has been done in MATLAB 7.5 image processing tool box. Experimental results show that the quality of image is improved.
منابع مشابه
A New Iterative Fuzzy-Based Method for Image Enhancement (RESEARCH NOTE)
This paper presents a new filtering approach based on fuzzy-logic which has high performance in mixed noise environments. This filter is mainly based on the idea that each pixel is not allowed to be uniformly fired by each of the fuzzy rules. In the proposed filtering algorithm, the rule membership functions are tuned iteratively in order to preserve the image edges. Several test experiments we...
متن کاملImage Enhancement by Comparing Contrast value in Fuzzy Plane
In this paper, a novel approach is proposed for contrast enhancement of greyscale image using the fuzzy logic based techniques such as contrast intensification (INT) operator. In the proposed algorithm, a measure of contrast of an image is introduced which is maximized to obtain a suitable crossover point for an image. Using this crossover point, the enhanced image is obtained using the INT ope...
متن کاملFuzzy Logic and Histogram-Based Color Image Enhancement
This chapter discusses about a new fuzzy logic and histogram based algorithm for enhancing low contrast color images. The proposed method is computationally fast compared to conventional and other advanced enhancement techniques. The given RGB image is converted into HSV color space to preserve the chromatic information contained in the original image. To enhance the image, only the V component...
متن کاملA Review Study on Fingerprint Image Enhancement Techniques
Image enhancement techniques have become more popular among the researchers as it is widely been used in security and medical applications. There have been different image enhancement technique approaches and filters were developed to enhancement the fingerprint images. While analysis a few accesses are established in spatial domain, frequency domain and fuzzy model. These techniques are based ...
متن کاملType-2 Fuzzy Image Enhancement
In the classical image processing paradigm, the fundamental idea of image enhancement is to produce a new image such that it exposes information for analysis more than the original image. Fuzzy Logic methods are one of valuable and frequently used techniques among many other image enhancement approaches. In this work we demonstrate that a type-2 fuzzy logic system is able to perform image contr...
متن کامل