Research on Biomedical Engineering
Research on Biomedical Engineering
Original Article

Image segmentation and particles classification using texture analysis method

Atteya, Mayar Aly; Salem, Mohammed Abdel-Megeed Mohammed; Hegazy, Doaa Abdel Karim Mohamed; Roushdy, Mohammed Ismail

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Introduction: Ingredients of oily fish include a large amount of polyunsaturated fatty acids, which are important elements in various metabolic processes of humans, and have also been used to prevent diseases. However, in an attempt to reduce cost, recent developments are starting a replace the ingredients of fish oil with products of microalgae, that also produce polyunsaturated fatty acids. To do so, it is important to closely monitor morphological changes in algae cells and monitor their age in order to achieve the best results. This paper aims to describe an advanced vision-based system to automatically detect, classify, and track the organic cells using a recently developed SOPAT-System (Smart On-line Particle Analysis Technology), a photo-optical image acquisition device combined with innovative image analysis software. Methods: The proposed method includes image de-noising, binarization and Enhancement, as well as object recognition, localization and classification based on the analysis of particles’ size and texture. Results: The methods allowed for correctly computing cell’s size for each particle separately. By computing an area histogram for the input images (1h, 18h, and 42h), the variation could be observed showing a clear increase in cell. Conclusion: The proposed method allows for algae particles to be correctly identified with accuracies up to 99% and classified correctly with accuracies up to 100%.


Haar wavelet, Morphological operations, Texture analysis, Watershed segmentation


Aayushi AK. Image segmentation using watershed transform. International Journal of Soft Computing and Engineering. 2014; 4(1):5-9.

Andrzej M, Michal S. Texture analysis methods: a review. Brussels: Technical University of Lodz, Institute of Electronics; 1998. COST B11 report.

Audrey DL, George T, Takashi A. Characterization of the size distribution of contaminants in wastewater: treatment and reuse implications. Journal Water Pollution Control Federation. 1985; 57(7):805-16.

Bazila, Mir AH. Segmentation of microscopic images of living cells: a study. International Journal of Signal Processing: Image Processing and Pattern Recognition. 2014; 7(2):327-38.

Belaid LJ, Mourou W. Image segmentation: a watershed transformation algorithm. Image Analysis & Stereology. 2009; 28(2):93-102.

Beucher S. The watershed transformation applied to image segmentation. Scanning Microscopy International. 1991; 6:299-314.

Bhaud Y, Salmon J, Soyer-Gobillard M. The complex cell cycle of the dinoflagellate protoctist crypthecodinium cohnii as studied in vivo and by cytofluorimetry. Journal of Cell Science. 1991; 100(3):675-82.

Bittner C, Wehnert G, Scheper T. In situ microscopy for on-line determination of biomass. Biotechnology and Bioengineering. 1998; 60(1):24-35.<24::AID-BIT3>3.0.CO;2-2. PMid:10099402.

Brümmer H. Particle characterisation in excipients, drug products and drug substances. Life Science Technical Bulletin. 2008; 1(11), 1-6.

Deng-Yuan H, Ta-Wei L, Wu-Chih H. Automatic multilevel thresholding based on two-stage Otsu’s method with cluster determination by valley estimation. International Journal of Innovative Computing, Information, & Control. 2011; 7(10):5631-44.

Dominguez AR, Corkidi G. Automated recognition of oil drops in images of multiphase dispersions via gradient direction pattern. In: 4th International Congress on Image and Signal Processing; 2011; Shanghai. U.S.: IEEE; 2011. p. 1209-13.

El-dosuky MA, Riad AM, Khedr WM, Aoud M. Image restoration based on morphological operations. International Journal of Computer Science. Engineering and Information Technology. 2014; 4(3):9-21.

Galindo E, Larralde-Corona CP, Brito T, Cordova-Aguilar MS, Taboada B, Vega-Alvarado L, Corkidi G. Development of advanced image analysis techniques for the in situ characterization of multiphase dispersions occurring in bioreactors. Journal of Biotechnology. 2005; 116(3):261-70. PMid:15707687.

Hiraishi O, Prabowo DA, Suda S. Diversity of crypthecodinium spp. (dinophyceae) from okinawa prefecture, japan. Materials Science and Technology. 2013; 21:181-91.

Ismail B, Khan A. Image de-noising with a new threshold value using wavelets. Journal of Data Science. 2012; 10:259-70.

Jackway PT. Gradient watersheds in morphological scale-space. Image Processing, IEEE. 1996; 5(6):913-21. PMid:18285180.

Jiang F, Guo X, Liu H. Research on the segmentation method of micro algae image. Mathematical and Physical Fisheries Science. 2010; 8:1-7.

Lu N, Ke X. A segmentation method based on gray-scale morphological filter and watershed algorithm for touching objects image. In: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery; 2007; Haikou. U.S.: IEEE; 2007. p. 474-8.

Madeira V, Ruano F, Silva T, Reis A, Mendes A, Guerra P. Study of docosahexaenoic acid production by the heterotrophic microalga crypthecodinium cohnii ccmp 316 using carob pulp as a promising carbon source. World Journal of Microbiology & Biotechnology. 2007; 23(9):1209-15.

Maini R, Aggarwal H. Study and comparison of various image edge detection techniques. International Journal of Image Processing. 2009; 3(1):1-11.

Malik J, Belongie S, Leung T, Shi J. Contour and texture analysis for image segmentation. International Journal of Computer Vision. 2001; 43(1):7-27.

Martin ES. Docosahexaenoic acid production by the marine alga crypthecodinium cohnii: applied microbiology and biotechnology [thesis]. Netherlands: Delft University Press; 2003.

Martins DA, Custodio L, Barreira L, Pereira H, Ben-Hamadou R, Varela J, Abu-Salah KM. Alternative sources of n-3 long chain polyunsaturated fatty acids in marine microalgae. Marine Drugs. 2013; 11(7):2259-81. PMid:23807546.

Mihran T, Anil KJ. Texture analysis. In: Chen CH, Pau LF, Wang PSP, editors. The handbook of pattern recognition and computer vision. 2nd ed. Singapore: World Scientific Publishing; 1998. p. 207-48.

Moghtased-Azar K, Gholamnia M. Effect of using different types of threshold schemes (in wavelet space) on noise reduction over GPS times series. Journal of Geomatics Science and Technology. 2014; 4(1):51-66.

Morita S. Roadmap of scanning probe microscopy. In: Avouris P, Bhushan B, Bimberg D, von Klitzing K, Sakaki H, Wiesendanger R, editors. Nano science and technology. Berlin: Springer; 2006. p. 7-14.

Paul K. Particle size analysis. Pharmaceutical Technology Europe. 2009; 21(4):1-3.

Perez-Garcia O, Escalante FME, de Bashan LE, Bashan Y. Heterotrophic cultures of microalgae: metabolism and potential products. Water Research. 2011; 45(1):11-36. PMid:20970155.

Pons M-N, Vivier H. Biomass quantification by image analysis. Advances in Biochemical Engineering/Biotechnology. 1999; 66:133-84.

Raviraj P, Sanavullah MY. The modified 2D-Haar wavelet transformation in image compression. Middle-East Journal of Scientific Research. 2007; 2(2):73-8.

Ribeiro MMM, Bras LMR, Gomes EF, Guimaraes MML. Drop distribution determination in a liquid-liquid dispersion by image processing. International Journal of Chemical Engineering. 2009; 2009:746439.

Rivoire A, Pinoli J, Fevotte G, Presles B, Debayle J. In situ particle size measurements during crystallization processes using image analysis. In: XII Congrès de la Société Française de Génie des Procédés Pour relever les défis industriels du XXI siècle A la croisée des Sciences et des Cultures; 2009; Marseille. France: Societe Fancaise de Genie des Procedes; 2009.

Sachin DR, Dharmpal DD. Wavelet based image denoising technique. International Journal of Advanced Computer Science and Applications. 2011; 2(3):49-53.

Salem MAM. Medical image segmentation: multiresolution-based algorithms [thesis]. Cairo: Ain Shams University; 2011.

Schutte R, Thompson GR, Donkor KK, Duke MJM, Cowles R, Li XP, Kratochvil B. Estimation of particle size distribution in Athabasca oil sands by indirect instrumental neutron activation analysis. Canadian Journal of Chemistry. 1999; 77(10):1626-37.

Stefano L, Bulgarelli A. A simple and efficient connected components labeling algorithm. In: Proceedings of the International Conference on Image Analysis and Processing; 1999; Venice. U.S.: IEEE Computer Society; 1999. p. 322-7.

Vincent OR, Folorunso O. A descriptive algorithm for sobel image edge detection. In: Proceedings of Informing Science & IT Education Conference (InSITE); 2009; Nigeria. California: Informing Science Institute; 2009. p. 97-107.

Wartelle F, Dhulster P, Guez JS, Cassar JP, Suhr H. Real time in situ microscopy for animal cell concentration monitoring during high density culture in bioreactor. Journal of Biotechnology. 2004; 111(3):335-43. PMid:15246669.
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