A Chain Code-Based Methodology for Loop Closure Detection in Digital Images

Throughout this research, we introduce an innovative technique for real-time detection of the loop(s) present in digital images. Our proposed model is based on the chain code method and implemented on two self-prepared datasets. A unique type of contour will be used to find the loops in source images. The outcomes of the suggested method's use in the real world have been shown to demonstrate its effectiveness. The results unequivocally demonstrate its strong performance. This demonstrates that while each of these descriptors has the potential to be useful, their effectiveness can vary greatly depending on the assessment criteria used. Our dataset provided a 95% accuracy result, which is impressive. This technique is very helpful in various industries, including digital cinematography, astronomy, biometric security, building extraction from overhead satellite photos, etc. The major objective has been achieved since the recommended model outperforms the current works that were proposed previously by the researchers.