What are the applications of image segmentation?
Autonomous = done automatically by a software (used in robotics) Image segmentation = dividing the image into parts that can be used later to recognize relevant image features (like objects) The definition of autonomous segmentation is summing up both terms and refers to a automatic, without human intervention, segmentation of the image. It means that the segmentation algorithms auto-calibrate themselves. This may seem a simple task for a controlled indoor environment, but can also become…
1). Tracking 2). Segmentation 3). Reassembling 4). Identifying the different applications Tracking= is the individual conversation between applications on the source and destination host. Segmentation= is data and managing each piece. Reassembling= is the sementaton streams and application data. Identifying the different applications.
segmentation is a creative prcess. marketers normally segment markets by combining several segmentation variables rather than relaying on a single segmentation base. THERE ARE 4 METHODS OF HYBRID SEGMENTATION * Value and Life Style (VALS) * psychographic-demographic segmentation * geo-demographic segmentation * yankelovich's mind base segmentation