Image Analysis: The Process Of A Digital Image

Image Analysis is the process where one obtains information from a digital image. Image Analysis is a process which consists of multiple phases. In the first phase one acquires a digital image. After the image acquisition one improves the quality of the image. It could be possible that the digital image is affected by noise or other unwanted things. Image Segmentation. The segmented objects can then be used for further analysis.

Image Segmentation is the phase in which an is the process of dividing an image in foreground and background, subdividing an image into its constituent regions or objects, dividing an image into regions of “related content” or transforming an image of densities to a binary image

There are methods to segment an image. The first method is Edge Based Detection. The second method is Region Based Segmentation. An edge is defined as a set of connected pixels that are on the boundary between a region. Therefore an edge is thus a

They have compared the results with ABC algorithm without combination of the EPF. The results that they present are described for a set of input parameters. The results show that in almost all cases the hybrid method obtained better fitness scores than the method without EPF.

In the ABC algorithm is applied in segmentation of Synthetic Aperture Radar (SAR) images. In their proposed method the algorithm searched for an appropriate value in a continuous gray scale interval such that it finds the optimal threshold value. They compared their results with three other methods. A GA with a Two-dimensional entropy, Two-dimensional grey entropy and artificial fish-swarm two-dimensional Otsu method. The methods have been tested on three images. The results show that in all cases the images are segmented faster then the other