It has always been a serious challenge to efficiently detect infrared targets from remote sea-sky background without any prior knowledge. This is especially true when target features of different areas are irrelevant in the same image. The main contribution this paper design an algorithm judge condition and target, which two-direction local maximum (TLM) method peak singularity (PLS) proposed, ...

Chan-Vese is an important and well-established segmentation method. However, it tends to be challenging to implement, including issues such as initialization problems and establishing the values of several free parameters. The paper presents a detailed analysis of Chan-Vese framework. It establishes a relation between the Otsu binarization method and the fidelity terms of ChanVese energy functi...

This paper proposes a dynamic-context cooperative quantum-behaved particle swarm optimization algorithm. The proposed algorithm incorporates a new method for dynamically updating the context vector each time it completes a cooperation operation with other particles. We first explain how this leads to enhanced search ability and improved optimization over previous methods, and demonstrate this e...

1 Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac 10-12, 08028 Barcelona, Spain 2Departament de Bioquı́mica i Biomedicina Molecular, Facultat de Biologia, Universitat de Barcelona, 08028 Barcelona, Spain 3Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas...

Otsu’s method is one of the best image thresholding techniques, but its complexity increases tremendously with the number of thresholds. In this work, Otsu’s criterion function is reduced into a suitable form for easy computation. An algorithm using Particle Swarm Optimization (PSO) is then proposed which works much faster than the original Otsu multi thresholding. This method achieves performa...