An important practical aim of image processing is the demarcation of objects appearing in digital images. This process is called segmentation, and a good approximation to it can be achieved by thresholding. Broadly, this process involves separating the dark and light regions of the image, and thus identifying dark objects on a light background (or the inverse). This chapter discusses the effectiveness of this idea and the means for achieving it.
Look out for:
• the segmentation, region-growing, and thresholding concepts.
• the problem of threshold selection.
• the limitations of global thresholding.
• problems in the form of shadows or glints (highlights).
• the possibility of modeling the image background.
• the idea ...