Advances of Soft Computing Methods in Edge Detection

Artificial Intelligence (AI) techniques are now commonly used tosolve complex and ill-defined problems. AI a broad field and willbring different meanings for different people. John McCarthy wouldprobably use AI as “computational intelligence”, while Zadehclaimed that computational intelligence is actually Soft Computing(SC) techniques. Regardless of its definition, AI concerns with tasksthat require human intelligence which require complex andadvanced reasoning processes and knowledge. Due to its ability tolearn, handle incomplete or incomprehensible data, deal with nonlinearproblems, and perform reasonable tasks very fast, AI has beenused in diverse applications in control, robotics, pattern recognition,forecasting, medicine, power systems, manufacturing, optimization,signal processing, and social sciences. However, in this paper, wewill focus on Soft Computing (SC), one of the AI influences thatsprang from the concept of cybernetics. The main objective of thispaper is to illustrate how some of these SC techniques generallywork on detecting the edges. The paper also outlines practicaldifferences among these techniques when they are applied to solvingthe problem of edge detection.