Microscopic images dataset for automation of RBCs counting

Download

1-s2.0-S2352340915001626-main (1).pdf

Date

2015-12

Author

Abbas, Sherif

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States License.

Item Usage Stats

446
views

115
downloads

A method for Red Blood Corpuscles (RBCs) counting has been developed using RBCs light microscopic images and Matlab algorithm. The Dataset consists of Red Blood Corpuscles (RBCs) images and there RBCs segmented images. A detailed description using flow chart is given in order to show how to produce RBCs mask. The RBCs mask was used to count the number of RBCs in the blood smear image.

Subject Keywords

Science & Technology, Multidisciplinary Sciences

URI

https://hdl.handle.net/11511/28644

Journal

Data In Brief

DOI

https://doi.org/10.1016/j.dib.2015.08.006

Collections

Department of Biology, Article

Suggestions

OpenMETU
Core

Numerical and Experimental Investigation into LWIR Transmission Performance of Complementary Silicon Subwavelength Antireflection Grating (SWARG) Structures Cetin, Ramazan; Akın, Tayfun (Springer Science and Business Media LLC, 2019-03-18) This paper presents a detailed comparison between the long wave infrared (LWIR) transmission performances of binary, silicon based, structurally complementary pillar and groove type antireflective gratings that can be used for wafer level vacuum packaging (WLVP) of uncooled microbolometer detectors. Both pillar and groove type gratings are designed with various topological configurations changing in various period sizes (Delta) from 1.0 mu m to 2.0 mu m, various heights/depths (h) from 0.8 mu m to 1.8 mu m,...
Moving Object Detction in 2D and 3D Scenes Sırtkaya, Salim; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2004) This thesis describes the theoretical bases, development and testing of an integrated moving object detection framework in 2D and 3D scenes. The detection problem is analyzed in stationary and non-stationary camera sequences and different algorithms are developed for each case. Two methods are proposed in stationary camera sequences: background extraction followed by differencing and thresholding, and motion detection using optical flow field calculated by أKanade-Lucas Feature Trackerؤ. For non-stationary ...
Hamilton-Jacobi theory of discrete, regular constrained systems Güler, Y. (Springer Science and Business Media LLC, 1987-8) The Hamilton-Jacobi differential equation of a discrete system with constraint equationsG α=0 is constructed making use of Carathéodory’s equivalent Lagrangian method. Introduction of Lagrange’s multipliersλ˙α as generalized velocities enables us to treat the constraint functionsG α as the generalized momenta conjugate toλ˙α. Canonical equations of motion are determined.
Stability analysis of constraints in flexible multibody systems dynamics İder, Sıtkı Kemal (Elsevier BV, 1990-1) Automated algorithms for the dynamic analysis and simulation of constrained multibody systems assume that the constraint equations are linearly independent. During the motion, when the system is at a singular configuration, the constraint Jacobian matrix possesses less than full rank and hence it results in singularities. This occurs when the direction of a constraint coincides with the direction of the lost degree of freedom. In this paper the constraint equations for deformable bodies are modified for use...
Video Shot Boundary Detection by Graph-theoretic Dominant Sets Approach Asan, Emrah; Alatan, Abdullah Aydın (2009-09-16) We present a video shot boundary detection algorithm based on the novel graph theoretic concept, namely dominant sets. Dominant sets are defined as a set of the nodes in a graph, mostly similar to each other and dissimilar to the others. In order to achieve this goal, candidate shot boundaries are determined by using simply pixelwise differences between consequent frames. For each candidate position, a testing sequence is constructed by considering 4 frames before the candidate position and 2 frames after t...

Citation Formats

S. Abbas, “Microscopic images dataset for automation of RBCs counting,” Data In Brief, pp. 35–40, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/28644.