Correlation of Surface Binary Segmentation and Object Contour Sizing Threshold in Clustering Image Processing

Image segmentation and contouring plays a significant role in computer vision. It aims at extracting meaningful objects contained in an image. Obtaining an appropriate threshold value yield a higher accuracy in identifying the specified object of interest. A min-max threshold value was examined for surface binary segmentation and object contour sizing. The binary segmentation threshold (T) suggested to be in the range of 155 to 250 in order to get an appropriate result and the acceptable range for frame divider is between 150 to 250. These results can assist researchers to focus on the applicable threshold value in image processing especially for video analysis.