Directional features extracted from Gabor wavelets responses were used to train a structure of self-organising maps, thus classifying each pixel in the image within a neuron-map. Resulting directional primitives were grouped into perceptual primitives introducing an extended 4D Hough transform to group pixels with similar directional features. These can then be used as perceptual primitives to ...

In existing research about 3D city map, geometrical information of buildings’ facade is derived from video image. In order to improve quality of the geometrical information, range image is used in our research. At first range image of existing buildings is acquired using laser scanners mounted on data acquisition vehicle which runs in the street. After removing obstacles from original range ima...

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 proposes an algorithm for detecting artificial text in video frames using edge information. First, an edge map is created using the Canny edge detector. Then, morphological dilation and opening are used in order to connect the vertical edges and eliminate false alarms. Bounding boxes are determined for every non-zero valued connected component, consisting the initial candidate text a...

This paper attempts to improve the quality and the modification rate of a Stego Image. The input image provided for estimating the quality of an image and the modified rate is a bitmap image. The threshold value is used as a parameter for selecting the high frequency pixels from the Cover Image. The data embedding process are performed on the pixels that are found with the help of Threshold val...

In this paper, a robust recognition algorithm for encoded targets in close-range photogrammetry is proposed. Firstly, Canny detector is used to detect edges from an input image. Secondly, the least squares method is employed to fit ellipses to the set of data points yielded by the edge detector. Three restriction criteria based on length, shape, and embedding are applied to restrict the set of ...

In this paper fuzzy based canny edge detection is explained. Global contrast intensification and local fuzzy edge detection are the two phases explained and is then merged with Canny operator for better results specially for noisy images and low contrast images. The resultant images are obtained using MATLAB which is the most convenient software and is efficient in terms of Image Processing as ...

Content-based image retrieval (CBIR) work includes image representation, selection, and matching. An image contains different Information of picture, such as object’s color, texture, shape, size, but intolerance of the objects from their background is the first analysis task that should be performed. The contour of an object can be extracted, by detect the object’s edges formation, and this pro...

-Edge detection has fundamental importance in image analysis. Classical edge detectors work only for specific image size and fail to operate on images with strong noise. Multiwavelets can achieve and maintain detail information of image well even in noisy environment. The steps involved in canny edge detector are performed in transformed domain (using DMWT) for synthetic image. Finally the perf...