![easy contour app easy contour app](https://www.wikihow.com/images/7/7a/Apply-Cream-Contour-Step-5.jpg)
Vectors-contours we will designate the big Greek letters, and their elementary a vector - small Greek letters. And sequence of complex-valued numbers - vector-contour (VC). The last vector of a contour always leads to the starting point.Įach vector of a contour we will name elementary vector (EV). It allows to define unambiguously a way of bypass of a contour (to within a direction - on or counter-clockwise). Owing to the physical nature of three-dimensional objects, their contours are always closed and cannot have self-intersection. Offset is noted concerning the previous point. Where a - point offset on x axis, and b - offset on y axis. Then, the contour is scanned (is admissible - clockwise), and each vector of offset is noted by a complex number a+ib.
![easy contour app easy contour app](http://3.bp.blogspot.com/_O96JA2G5zFY/So9CcapctXI/AAAAAAAAAts/bsoG6j-YPKA/s400/DSC_0469.jpg)
On a contour, the point which is called as starting point is fixed. Instead, in a CA the contour is encoded by the sequence consisting of complex numbers. But all these formats of coding are not used in a CA.
#Easy contour app code
In systems of computer vision, some formats of coding of a contour are used - the code of Freeman, two-dimensional coding, polygonal coding are most known. The contour is a boundary of object, a population of points (pixels), separating object from a background. The Main ConceptsĪt first, we define such an object contour. CA methods are invariant to these transformations. It restricts area of applicability of algorithms of a CA, but reviewing only contours allows to pass from two-dimensional space of the image - to space of contours and by that to lower computing and algorithmic complexity.ĬA allows to effectively solve the main problems of a pattern recognition - transposition, turn and a rescaling of the image of object. Interior points of the object are not accepted to attention. It is supposed that the contour contains the necessary information on the object shape. The CA allows to describe, store, compare and find the objects presented in the form of the exterior outlines - contours. Part 1: Bases of the Contour Analysis What is Necessary for the Contour Analysis (CA) The third part describes C# library ContourAnalysis. In the same place results of work of algorithms are brought, problems and deficiencies of the given method are described.
![easy contour app easy contour app](https://ae01.alicdn.com/kf/HTB1RMG1hbsTMeJjy1zeq6AOCVXaN/Cr-atif-renne-cerf-Silhouette-Contour-mur-autocollant-dessin-anim-Animal-vinyle-mur-d-calque-d.jpg)
The second part of the article is devoted to it. In the core, it concerns some aspects of the theory, and also problems of optimization of algorithms of the contour analysis. I tried to select the principal moments which allow to understand quickly enough an essence of the contour analysis, and to begin its application in practice. The first part of the article contains the main definitions and theorems of the contour analysis. The article also includes library for operation with the contour analysis, and a demo-example. The article describes the theoretical bases of the contour analysis and aspects of its practical application for image recognition. Source code and demo include all needed OpenCV libs.