Module 2.3: Chain Code: Solved Numerical Example 3 | Digital Image Processing #subscribe

Dear Students, Image Representation and Description is an very important topic in Digital Image Processing. Moreover, the numerical question based on this topic include, writing Chain Code, Normalized Chain Code, First Difference, Circular First Difference, Shape number and Order. Chain Code: A concise representation of a shape's boundary by encoding the direction of movement between adjacent pixels. Uses a set of predefined directions (e.g., 4-directional or 8-directional) to describe the contour. Sensitive to starting point and rotation. Circular Chain Code: Treats the chain code as a circular sequence, allowing for rotation invariance. Normalization techniques can be applied to remove starting point dependence. Normalized Chain Code: A chain code that has been transformed to a standard form, often by minimizing the magnitude of the chain code Provides a more robust representation for shape comparison and recognition. Shape Number: A numerical descriptor derived from the Circular 1st Difference chain code. Characterizes the shape's intrinsic properties, such as its curvature and complexity. Can be used for shape classification and retrieval. Order: The number of digits in the shape number representation. Determines the level of detail captured by the shape number. Higher orders provide more precise shape descriptions. In University End Term Examination as well as in Mid-Term Examination; Question may be rotated and ask you write Normalized chain code and Shape Number indirectly. In this video, I have discussed about that rotation in the question. Here in this video, I have discussed step-by-step procedure to determine Chain Code, Normalized chain code 1st difference, Circular 1st difference, Shape number and order for the given digital image boundary using 8-directional chain code. You may refer the following books to practice more numerical questions: 1. R.C.Gonzalez and R.E.Woods, “Digital Image Processing”, Prentice Hall, 3rd Edition,2011. 2. S. Sridhar , “Digital Image Processing”, Oxford University Press,2011 If you have any suggestion/feedback or if you want videos on any topic related to digital image processing , please do comments in my video or write email to me: [email protected]