نتایج جستجو برای: point counting method

تعداد نتایج: 2081655  

Journal: :Adv. Software Engineering 2011
Vitor A. Batista Daniela Cristina Cascini Peixoto Eduardo P. Borges Wilson Pádua Rodolfo F. Resende Clarindo Isaías Pereira da Silva e Pádua

Function Point Analysis (FPA) is a widely used technique for measuring software size. It measures software functionality from the user’s perspective, usually based on a requirements description. In many software processes, these requirements are represented by UML models. Although there have been attempts to automate the measurement process, FPA counting requires a considerable amount of interp...

Journal: :journal of crop protection 2015
sara ghods vahhab shojaeddini

counting the population of insect pests is a key task for planning a successful integrated pest management program. most image processing and machine vision techniques in the literature are very site-specific and cannot be easily re-usable because their performances are highly related to their ground truth data. in this article a new unsupervised image processing method is proposed which is gen...

2016
Zhuoyi Zhao Hongsheng Li Rui Zhao Xiaogang Wang

In this paper, we propose a deep Convolutional Neural Network (CNN) for counting the number of people across a line-of-interest (LOI) in surveillance videos. It is a challenging problem and has many potential applications. Observing the limitations of temporal slices used by state-of-the-art LOI crowd counting methods, our proposed CNN directly estimates the crowd counts with pairs of video fra...

Mohammad Reza Rezaie, Tohid Yousefzadeh Hassanluie Zahra Rostami

Background:Leukemia is cancer of blood and bone marrow cells. In general, there are four types of leukemia: chronic myelogenous leukemia (CML), acute myeloid leukemia (AML), B-cell chronic lymphocytic leukemia (CLL) and acute lymphoblastic leukemia (ALL).  Fractal geometry can be introduced as one of the effective ways to detect this type of cancer. In this study, with introduc...

Journal: :IEEE transactions on image processing 2021

In this article, we propose a novel self-training approach named Crowd-SDNet that enables typical object detector trained only with point-level annotations (i.e., objects are labeled points) to estimate both the center points and sizes of crowded objects. Specifically, during training, utilize available point supervise estimation directly. Based on locally-uniform distribution assumption, initi...

Journal: :Journal of the Optical Society of America. A, Optics, image science, and vision 2016
Rasmus Dalgas Kongskov Jakob Sauer Jørgensen Henning Friis Poulsen Per Christian Hansen

Classical reconstruction methods for phase-contrast tomography consist of two stages: phase retrieval and tomographic reconstruction. A novel algebraic method combining the two was suggested by Kostenko et al. [Opt. Express21, 12185 (2013)OPEXFF1094-408710.1364/OE.21.012185], and preliminary results demonstrated improved reconstruction compared with a given two-stage method. Using simulated fre...

2015
Christian Quesada-López Marcelo Jenkins

Background: Software size is one of the key factors that has the potential to affect the effort of software projects. Providing accurate software size estimation is a complex task. A number of functional size measurement (FSM) methods have been proposed to quantify the size of software based on functional user requirements (user perspective). Function point analysis (FPA) was the first proposal...

Journal: :Journal of oral science 2006
José M Amenábar Gabriela B Martins Karen Cherubini Maria A Z Figueiredo

The aim of the present study was to compare results obtained using the manual point-counting method with results obtained using the semi-automated segmentation method, in the quantitative evaluation of histological sections by light microscopy. The tongues of 40 rats (Ratus norvergicus) were processed using the paraffin technique, in which a 5-mum-thick tissue slice cut from each tongue is stai...

2012
SHIZUKA FUJISAWA YOSHIAKI TANIGUCHI HIROTAKA NAKANO

Existing systems for counting pedestrians in video sequences have the problem that counting accuracy is worse when many pedestrians are present and occlusion occurs frequently. In this paper, we introduce a method of clustering optical flows in video frames to improve the counting accuracy in cases where occlusion occurs. The proposed method counts the number of pedestrians by using pre-learned...

Journal: :IEEE Signal Processing Letters 2021

Object counting aims to estimate the number of objects in images. The leading approaches focus on single category task and achieve impressive performance. Note that there are multiple categories real scenes. Multi-class object expands scope application task. multi-target detection can multi-class some scenarios. However, it requires dataset annotated with bounding boxes. Compared point annotati...

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