A method for identifying door features in images was implemented in MATLAB to extract door locations from a set of random still images. The method is based on Canny edge detection algorithm and the Hough transform, and uses fuzzy logic to determine the probability of existence of doors which fit a set of predefined rules. The algorithm has an 80% rate of detection for an input set of 196 images...

Our fuzzy classifier detects classes of image pixels corresponding to gray level variation in the various directions. It uses an extended Epanechnikov function as a fuzzy set membership function (FSMF) for each class where the class assigned to each pixel is the one with the greatest fuzzy truth of membership. This classification is done first, after which a competition is run as a second step ...

Edge detection of real world images is a challenging task. To extract the edges from the images, derivative edge detection operators or gradient operator, such as Sobel operator, Prewitt operator, Roberts operator, and Laplacian operators ,Canny operators are commonly used for which 3x3 mask is used. Different approaches have been used earlier for detecting edges that have some advantages and d...

Most of the edge detection methods available in literature are gradient based, which further apply thresholding, to find the final edge map in an image. In this paper, we propose a novel method that is based on fuzzy logic for edge detection in gray images without using the gradient and thresholding. Fuzzy logic is a mathematical logic that attempts to solve problems by assigning values to an i...

The mounting escalation of multimedia content in information indexing and retrieval has made a high venture for extracting the text from videos. In this paper a new approach has been made using Stroke Width Transform (SWT) with intuitionistic fuzzy set theory for detecting text from images. The proposed methodology uses a fuzzy based edge detection method instead of the conventional edge detect...

This paper presents an effective comparison between various edge detection techniques and emphasizes on how fuzzy logic can be applied for edge detection. Edges provide the representation of object boundaries thus, filtering unnecessary data and that is the reason behind edge detection being an essential component in many computer image processing subfields such as classification, feature extra...

The visual examination of downstream faces of hydro dams is an important component in their monitoring. Few computer vision algorithms exist for this task. Some of them aim to detect and evaluate concrete cracks using edge detection. Other problems can also affect hydro-dams, as roughness, scratches, and can lead in time to surface deterioration. These are not currently reliably addressed by im...

Understanding of images via features like edges plays a vital role in many image processing applications. However, obtaining an optimum edge detector that performs well in every possible imaging condition is still an open challenge to researchers. In this paper, a quantitative analysis of some significant state of art edge detection techniques such as Canny’s, Prewitt, Sobel, Laplacian of Gauss...

We describe a method for edge detection in digital images based on the morphological gradient and fuzzy logic. The goal is to improve one of the basic methods for edge detection in order to obtain a better result even without applying any filter to the image. The tests were made with a type-1 fuzzy inference system (T1FIS) and with an interval type-2 fuzzy inference system (IT2FIS). We show tha...