This paper presents a hybrid edge detection algorithm in situations where the image is corrupted by Saltand-Pepper noise. Edge detection is an important preprocessing step in image analysis. Successful results of image analysis extremely depend on edge detection. Up to now several edge detection methods have been developed such as Roberts, Prewitt, Sobel, Zero-crossing, Canny, etc. But, they ar...

In this paper, traditional methods of edge detection and their problems are discussed. After that high performance method for edge detection that is fuzzy logic based image processing is used for accurate and noise free edge detection and Cellular Learning Automata (CLA) is used for enhance the previously-detected edges with the help of the repeatable and neighborhood-considering nature of CLA....

In this paper, a novel fuzzy system-based method for speckle noise removal is proposed. The proposed method consists of a fuzzy inference system, an edge detection and dilation unit, and an image combiner. The fuzzy inference system includes 5 inputs and 1 output, and it is responsible for filtering the speckle noisy image. The inputs of the fuzzy system consist of the center pixel of the filte...

In image processing edge detection is an essential topic. We propose a new method for a simple edge detection and fast computation using fuzzy logic rule .We compare proposed edge detector to other existing edge detectors such as sobel edge detector, canny edge detector, and prewit edge detector. In addition it also deblurred the images efficiently and effectively. We present a new image deblur...

This paper presents an enhanced Neuro-Fuzzy (NF) Approach of edge detection with an analysis of the characteristic of the method. The specificity of our method is an enhancement of the learning database of the diagonal edges compared to the original learning database. The original inspired NF edge detection model uses just one image learning database realized by Emin Yuksel. The tests are accom...

This paper deals with an efficient background subtraction of image/frames of video by improving the execution speed, accuracy and reduce the usage of memory. Three important techniques are applied to improve the efficiency: superpixel extraction, canny edge detection and fuzzy c means. On applying the above three methods sequentially, the background of image/video can be segmented from foregrou...

This paper is based on the development of a fuzzy logic based edge detection technique in digital images. The proposed technique used three linear spatial filters to generate three edge strength values at each pixel of a digital image through spatial convolution process. These edge strength values are utilized as fuzzy system inputs. Decision on whether pixels in focus belong to an edge or non-...

This paper is based on the development of a fuzzy logic based edge detection technique in digital images. The proposed technique used three linear spatial filters to generate three edge strength values at each pixel of a digital image through spatial convolution process. These edge strength values are utilized as fuzzy system inputs. Decision on whether pixels in focus belong to an edge or non-...

An image compression method has been developed using fuzzy edge image utilizing the basic Block Truncation Coding (BTC) algorithm. The fuzzy edge image has been validated with classical edge detectors on the basis of the results of the well-known Canny edge detector prior to applying to the proposed method. The bit plane generated by the conventional BTC method is replaced with the fuzzy bit pl...