A Review: Sobel Canny Hybrid Theoretical Approach & LOG Edge Detection Techniques for Digital Image
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2015, Vol 6, Issue 2
Abstract
Edge detection is an important field in image processing. The purpose of image’s edge Detection is image segmentation, data compression, well matching such as image reconstruction and so on. Images to be compressed are first differentiated and edge information is extracted by investigation of the histogram of small non-overlapping blocks of the differential image. The image is classified into visually active and visually continuous blocks which are then coded individually. There are different methods for achieve the edge detection such as first-order derivatives in an image are computed using the gradient, the second-order derivatives are obtained using the Laplacian and one method for edge detection uses Hilbert Transform. Edge detection refers to the process of locating sharp discontinuities in an image. These discontinuities originate from different scene features such as discontinuities in depth, discontinuities in surface orientation, and changes in material properties and variations in scene illumination. Edge detector is a fundamental tool in image processing, machine vision and computer vision. An effective edge detector reduces a large amount of data but still keeps most of the important feature of the image.
Authors and Affiliations
Harpreet Singh , Er. MandeepKaur
Keywords
Related Articles
- EP ID EP111120
- DOI -
- Views 114
- Downloads 0
SIGNIFICANCE OF WEB USAGE MINING IN MACHINE STUDY
The WEB has been provided that a crucial and essential platform for receiving data and circularize data as well as interacting with society on the web. With its astronomical growth over the past decade, the web becomes v...
Evaluation of Classifiers to Enhance Model Selection
The various tasks like classification, clustering and association rule deriving are performed in the data-mining for the pattern extraction. The performance evaluation measures make each task distinct and meaningful. The...
Cephalometric analysis for finding facial growth abnormalities
Cephalometric analysis of lateral radiographs of the head is an important diagnosis tool in orthodontics. Based on physically locating specific landmarks, it is a boring, lengthy and error prone task. The objective of th...
Importance & Applications of Digital Image Processing
Digital image processing has become economical in many fields like signature recognition, iris recognition and face recognition, in forensics, in automobile detection and in military applications. Each of these applicati...
A Novel Technique for Image Compression in Hand Written Recognition using Back Propagation in Neural Network
The handwritten symbol recognition plays an important role in present communication systems. In the data communication systems, all the data have to be recorded, encoded and will be communicated with other systems. Prese...