A new method for segmentation of microscopic blood cell images by using histogram based automatic thresholding

被引：0

作者：

Coteli, Resul ^{[1
]}

Tuncer, Turker ^{[2
]}

Avci, Engin ^{[3
]}

Ustundag, Mehmet ^{[4
]}

Dogantekin, Esin ^{[5
]}

Dogantekin, Akif ^{[6
]}

机构：

[1] Firat Univ, Energy Syst Engn, TR-23119 Elazig, Turkey

[2] Firat Univ, Technol Fac, Software Engn, TR-23119 Elazig, Turkey

[3] Firat Univ, Technol Fac, Digital Forens Engn, TR-23119 Elazig, Turkey

[4] Bingol Univ, Architecture Engn Fac, Elect Elect Engn, TR-12000 Bingol, Turkey

[5] Minist Hlth, TR-27100 Gaziantep, Turkey

[6] Emek Hosp, TR-27100 Gaziantep, Turkey

来源：

OPTOELECTRONICS AND ADVANCED MATERIALS-RAPID COMMUNICATIONS | 2017年 / 11卷 / 7-8期

关键词：

Image segmentation; Automatic image thresholding method; Microscopic blood cell images; Multiple thresholding method; Histogram shape; BINARIZATION;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this study, a novel thresholding algorithm based on histogram shape (TAHS) is proposed for determining the multiple thresholding. In the proposed thresholding method, histogram is divided into smaller windows with same size. In the proposed method, the biggest difference between pixel intensities is found. The proposed method is applied to blood cell images and is compared with Otsu method for a better validation. Advantage of the proposed method is that one or more thresholding points can be obtained. Therefore, objects with different spatial feature can be detected successfully. The experimental studies show that TAHS method gives satisfactory thresholding results.

引用

页码：430 / 435

页数：6

共 32 条

[1]

[Anonymous], 2015, ARXIV151100561

[2]

Been C. Yuan, 2009, EURASIP J IMAGE VIDE, V2009

[3]

Bernsen J., 1986, INT C PATT REC, V1251

[4]

Cao Z., 2008, IEEE INTELLIGENT INF, V2, P99

[5]

Carron T., 1994, SATURATION INTENSITY

[6]

dos Anjos A, 2008, BIOSIGNALS 2008: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING, VOL II, P70

[7] Color image segmentation using multi-level thresholding approach and data fusion techniques: application in the breast cancer cells images [J].

Harrabi, Rafika ;

Ben Braiek, Ezzedine .

EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2012,

[8]

Hedley M., 1992, Journal of Electronic Imaging, V1, P374, DOI 10.1117/12.61158

[9]

Johannsen G., 1982, Proceedings of the 6th International Conference on Pattern Recognition, P140

[10] A NEW METHOD FOR GRAY-LEVEL PICTURE THRESHOLDING USING THE ENTROPY OF THE HISTOGRAM [J].

KAPUR, JN ;

SAHOO, PK ;

WONG, AKC .

COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1985, 29 (03) :273-285

← 1 2 3 4 →