Abstract
Image processing is a technique which is used to derive information from the images. Segmentation is a section of image processing for the separation or segregation of information from the required target region of the image. There are different techniques used for segmentation of pixels of interest from the image. Active contour is one of the active models in segmentation techniques, which makes use of the energy constraints and forces in the image for separation of region of interest. Active contour defines a separate boundary or curvature for the regions of target object for segmentation. The contour depends on various constraints based on which they are classified into different types such as gradient vector flow, balloon and geometric models. Active contour models are used in various image processing applications specifically in medical image processing. In medical imaging, active contours are used in segmentation of regions from different medical images such as brain CT images, MRI images of different organs, cardiac images and different images of regions in the human body. Active contours can also be used in motion tracking and stereo tracking. Thus, the active contour segmentation is used for the separation of pixels of interest for different image processing.
Highlights
Image processing can be defined as computerised processing of images of different types to obtain the desired output
Application of active contour models in medical image processing is very effective, since it separates the necessary pixels from the foreground [1]
Active contour models are defined for image segmentation based on the curve flow, curvature and contour to obtain the exact target region or segment in the image for future analysis and processing
Summary
Image processing can be defined as computerised processing of images of different types to obtain the desired output. We discuss about an image segmentation technique called active contour models. These models are considered because they help in segmentation of the target object of particular data or information values from an image. Active contour technique is applied for separation of foreground from the background and the segmented region of interest undergoes further image analysis. Active contours are defined models for segmentation of pixels from the required region of interest for which processing is performed to obtain the outcome for research. Application of active contour models in medical image processing is very effective, since it separates the necessary pixels from the foreground [1].
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