The edgelets produced by the Canny edge detector are first thresholded to reduce weak clutter. Beginning from an edgelet, we track along connected neighbours to get a list of edgelets. If one edgelet has more than two neighbours, we check all possible extensions of the curve, and segment the curves on a largest-first basis, breaking the others to form separate curves. This removes small spurs e...

-A novel way of matching two images with shifting transformation is studied. The approach is based on the presentation of the virtual edge current in images, and also the study of virtual electromagnetic interaction between two related images inspired by electromagnetism. The edge current in images is proposed as a discrete simulation of the physical current, which is based on the significant e...

To solve the issue of segmenting rich texture images, a novel detection methods based on the affine invariable principle is proposed. Considering the similarity between the texture areas, we first take the affine transform to get numerous shapes, and then utilize the KLT algorithm to verify the similarity. The transforms include rotation, proportional transformation and perspective deformation ...

This paper presents a method to differentiate the foreground objects from the background of a color image. Firstly a color image of any size is input for processing. The algorithm converts it to a grayscale image. Next we apply canny edge detector to find the boundary of the foreground object. We concentrate to find the maximum distance between each boundary pixel column wise and row wise and w...

EEcient edge detection algorithms such as Canny's fail near curve singularities. Moreover, the standard linking algorithms used on top of these detectors often fail because of instabilities in the tracking process (due to multiple responses to the same edge and interference of nearby edges). We propose a hierarchical approach to edge detection based on a graph stabilization method that allows b...

APPLY is a machine independent, low level image processing language for expressing local window operations. It has two main advantages: (1) it significantly reduces the programming effort, and (2) it can be mapped onto a wide range of parallel computers. In this paper, we report an our recent experience on implementing APPLY on a Meiko Computing Surface (Transputer array machine) using a farmer...

An approach for the semi-automatic extraction of roads from high-resolution satellite imagery is proposed. Scale space, Edge-detection techniques are used as pre-processing for segmentation and estimation of road width. The detection of road is based on the cost minimization technique. The cost is estimated by taking various factors into consideration like variance, direction, length and width ...

This paper proposes a novel method for chin contour estimation. First, we estimate several possible chin locations. A modified Canny edge detector is then used to extract edges from the face image. Using these estimated chin edges and chin locations, we obtain a number of curves as candidates of the chin contour. A confidence score that measures the likeliness of a curve being the actual chin c...

The proposed paper investigates the vehicle guidance control based on the visual information which is given by the webcam mounted on the vehicle. With the help of image processing techniques such as binarization, Canny edge detection method, and Hough transform, the road lines are thus identified, which means the drivable area can be defined. The proposed control scheme adopts a simple algorith...

Nowadays security and authentication are the major parts of our daily life. Iris is one of the most reliable organ or part of human body which can be used for identification and authentication purpose. To develop an iris authentication algorithm for personal identification, this paper examines two edge detection techniques for iris recognition system. Between the Sobel and the Canny edge detect...