Image edge detaction - Sobel Method - Essay Example

aim of the whole ‘Edge Detection’ process is the conversion of 2D Images into Curves or a collection of curves; this in turn highlights the boundaries of the objects that tend to produce specific changes in colour intensity. Hence all the information (geometric information) in an image; more commonly termed as objects such as the Colour, hue and brightness is attained by the properties of intensity changes in images. The history of Image Edge Detection includes not only the basic methods that like Gradient Method and Laplacian Method but also those methodologies that were based on these two techniques.

The time-period of 1960 – 1980 was specifically significant for the formulation and the development of the Discrete Gradients and Laplacians where as another method was introduced in the 1980s and was known as Marr – Hildreth; Laplacian of Gaussian. In the year 1983 Canny Edge Detectors and their basic principle of working surfaced and joined the lists of Image Edge Detectors. ‘Linear and non – linear Scale Space’ was another mode that surfaced in the year 1985. ‘Morphological Gradient and Laplacian’ is yet another term that represents an image detection method; originated in 1979.

What history the process of Image Edge Detection has, saw a boom in the research work applied to the field and the development it made in the late 20th century and still is underway in the 21st century. This boom had its peak displayed magnificently in the late 1980s and the level of research is maintained till the current day thus enabling progress and expansion in the field. Edge Detection procedures not only identify but also point out the location of the Discontinuities in a subject image which are fundamentally based on the difference between the intensity levels of ‘Pixels’, which determine the limits or, to be more precise, ‘Edges’ in the constituents of an image.

Edge detection operators employ the use of different variables to which they are sensitive