نتایج جستجو برای: otsu

تعداد نتایج: 700  

2016
Abahan Sarkar B. K. Roy

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...

Journal: :CoRR 2015
S. L. Happy Swarnadip Chatterjee Debdoot Sheet

Overlapping of cervical cells and poor contrast of cell cytoplasm are the major issues in accurate detection and segmentation of cervical cells. An unsupervised cell segmentation approach is presented here. Cell clump segmentation was carried out using the extended depth of field (EDF) image created from the images of different focal planes. A modified Otsu method with prior class weights is pr...

2017
Hui Ying Tang Daisuke Ishii Kumar Sudesh Tetsuji Yamaoka Tadahisa Iwata

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...

2005
Devrim Unay Bernard Gosselin

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...

2015
Heerajnarain Bulluck Steven K White Stefania Rosmini Anish N Bhuva Georg M Frohlich Thomas A Treibel Marianna Fontana Amna Abdel-Gadir Anna S Herrey Charlotte Manisty Ming Young S Wan Ashley Groves Leon J Menezes Peter J Weale James Moon Derek J Hausenloy

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...

Journal: :Journal of physics 2021

Abstract Aiming at the problem of using traditional Otsu algorithm to segment pitaya disease images, this paper proposes combined with genetic algorithm. The maximum variance between classes obtained by is calculated as fitness value improve accuracy and efficiency optimization. experimental results show that segmentation in are higher, it has certain practical value.

Journal: :Remote Sensing 2022

Rapeseed distribution mapping is a crucial issue for food and oil security, entertainment, tourism development. Previous studies have used various remote sensing approaches to map rapeseed. However, the time-consuming labor-intensive sample data in these supervised classification methods greatly limit development of large-scale rapeseed studies. Regarding threshold methods, some empirical thres...

Journal: :Indonesian Journal of Electrical Engineering and Informatics 2023

Mammography is usually the first preference of imaging diagnostic modalities used for detection breast cancer in early stage. Two projections Cranio Caudal (CC) and Medio-Lateral Oblique (MLO) which depict different degrees visualizing are during digital mammogram acquisition MLO view shows more tissue Pectoral Muscle (PM) area when compared to CC view. Although, PM a criterion show proper posi...

Journal: :International journal of engineering technology and management sciences 2023

In both ophthalmological and cardiovascular disease diagnosis, the accurate segmentation of retinal vessel tree has become prerequisite step for automatic or computer-aided diagnosis systems. Unlike typical foreground background in normal image processing, there are three problems making task even harder. First, color tends to be red everywhere, thus having a lower contrast than segmentation. S...

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