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...

This paper presents comparative analysis of counting algorithms based on image processing in LabVIEW platform. Four different algorithms are tested with cigarette packet images. A total of 100 images are chosen for comparison. Different qualities of images are considered like good image, low light image, out of focus image, and extra bright image. An 80% matching with the template is considered...

Hui Ying Tang1,2, Daisuke Ishii3, Kumar Sudesh1, Tetsuji Yamaoka4 and Tadahisa Iwata2,5 1School of Biological Sciences, Universiti Sains Malaysia, 11800 Penang, 2Bioengineering Laboratory, RIKEN Institute / Hirosawa 2-1, Wako-shi, Saitama 351-0198, 3Department of Materials Chemistry, Faculty of Science and Engineering, Ryukoku University / 1-5 Yokotani, Seta Oe-cho, Otsu-shi, Shiga 520-2194, 4D...

In this paper, a computer vision based system is introduced to automatically grade apple fruits. Segmentation of defected skin is done by three global thresholding techniques (Otsu, isodata and entropy). Stem−end/calyx regions falsely classified as defect are removed. Segmentations were visually best with isodata technique applied on 750nm filter image. Statistical features are extracted from t...

Methods CMR imaging at 3T (Bio-graph mMR, Siemens Healthcare, Erlangen, Germany) was performed in 18 STEMI patients within 10 days of PPCI using T2-mapping and T1-mapping by MOLLI (WIP #699; Siemens Healthcare; UK). Matched short-axis T1 and T2 maps covering the entire left ventricle were analyzed by 2 experienced investigators using 3 analytical methods (in-house macro, ImageJ): manual segment...