![International Journal of Computer Science,
Engineering and Information Technology
(IJCSEIT)
ISSN: 2231 - 3117 [Online] ; 2231 - 3605 [Print]
http://airccse.org/journal/ijcseit/ijcseit.html
Current Issue: August 2019, Volume 9,
Number 4--- Table of Contents
http://airccse.org/journal/ijcseit/vol9.html](https://image.slidesharecdn.com/currentissue-190903120022/85/Current-Issue-August-2019-Volume-9-Number-4-Table-of-Contents-1-320.jpg)
![REFERENCES
[1]. Y. Rouphael, A.H. Mouneimne, A. Ismael, E. Mendoza, C.M. Rivera, ”Modeling Individual leaf
based on leaf length and width measurement”, 48, pages 9-15, 2010.
[2]. C. Feng, Quwang, Yunming Du, “Face Detection Based on Membership and Geometry Feature”,
Harbin, 31(8), pages. 84-87, 2007.
[3]. M. Vidal Naquet and S. Ullman, “Object Recognition with informative Features and Linear
Classification”, IEEE, International Conference on Computer Vision (ICCV), Pages 281-288, October
2003.
[4]. Mohammad A, Yassin H., Fekadu D., Hussen S., “Effect of flower bud removal growth and yield of
anchote root accession”, 1, pages 7-13, 2013.
[5]. J Sivic and A. Zisserman, “Efficient Visual Search of Videos cast as text Retrieval” Volume 31,
pages 591-606, April 2009.
[6]. A.S. Samra, S.EI, Taweel Gad Allah, and R.M. Ibrahim, “Face Recognition using Wavelet Transform,
Fast Fourier Transformation and discrete Cosine Transform in Circuit and System”, IEEE, 46th Midwest
Symposium, Volume 1, Pages 272-275, Dec.2003.
[7]. Huchuan Lu and Hui Lin, “Gender Recognition using Ad boosted Feature”, 3rd International
Conference on Natural Computation, Volume 2, Pages 646-650, Aug. 2007.
[8]. Zisheng Li, J. Imai, and M. Kaneko, ”Robust Face Recognition using Block Based bag of Words”,
20th International Conference on Pattern Recognition (ICPR), Pages 1285-1288, Aug 2010.
[9]. Jonathan M. Blackledge, “Digital Image Processing”, Harwood Publishing, Chinchester, West
Sussex, 2005.
[10]. Rouphael Y., Rivera C.M., Buttaro D., Colla G., Gonella M., “Simple and accurate allometric model
for leaf area estimation”.53, pages 1-8, 2015.
[11]. J.G. Wang E. Sung, J. Li and W.Y. Yau, Boosting dense sift descriptors and shape contexts of face
images for gender recognition. IEEE Conference on Computer Vision and Pattern Recognition Workshop,
Pages 96-102, June 2010.
[12]. L.L. Yu D. Gonzalez-Jimenez, J.L. Alba- Castro and P. Dago-Casas, “Single and cross- database
benchmarks for gender classification under unconstrained setting”, IEEE International Conference on
Computer Vision Workshop, Pages 2152-2159. Nov’2011.
[13]. Oana G. Cula and Krstin, J. Dana, 3D Texture recognition using bidirectional feature histograms,
Volume-59, 2004.
[14]. H. Singh and S.K. Pandey, “A simple cost effective method for leaf area estimation”, pages 1-6,
2011.
[15]. Steven L Edins, “Image Processing” 1993.](https://image.slidesharecdn.com/currentissue-190903120022/85/Current-Issue-August-2019-Volume-9-Number-4-Table-of-Contents-3-320.jpg)
Current Issue: August 2019, Volume 9, Number 4--- Table of Contents
- 1. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) ISSN: 2231 - 3117 [Online] ; 2231 - 3605 [Print] http://airccse.org/journal/ijcseit/ijcseit.html Current Issue: August 2019, Volume 9, Number 4--- Table of Contents http://airccse.org/journal/ijcseit/vol9.html
- 2. Paper -01 AN ANALYSIS OF SURFACE AND GROWTH DIFFERENCES IN PLANTS OF DIFFERENT STAGES USING IMAGE PROCESSING Faizur Rashid and Tamirat Delesa Department of Computer Science, College of Computing and Informatics Haramaya University ABSTRACT Genomes are main reason for growth and surface differences in the plants. All plants grow on basis of their different surrounding like soil, water, breed of seed, and climatic session. This paper attempts to find stem growth from birth to maturity level of selected plant using image processing technique. Few reasons have been observed commonly by the researchers that some plants could not grow sufficiently as to the other plants of similar breed and age. Images were taken of different stage of bean plant and images of some other plant samples were also included for better assessment. Researchers are trying to understand through their calculative analysis by image processing emulator in MATLAB to view its reasons. Suitable comparison technique is applied to detect their period of growth. Image processing methods like Restoration, stem or leaves spots, filtering, and plant comparison have applied in MATLAB. Those effects that are not supporting to grow the plants of their similar age group are matter to calculate scientifically later in the future. The observation would help for further support in medicinal science or agricultural science of plant and Bio-chemical. KEYWORDS Image Processing, Surface of Plants (SOP), Differences of Stage (DoS), Segmentation. For More Details : http://aircconline.com/ijcseit/V9N4/9419ijcseit01.pdf http://airccse.org/journal/ijcseit/vol9.html
- 3. REFERENCES [1]. Y. Rouphael, A.H. Mouneimne, A. Ismael, E. Mendoza, C.M. Rivera, ”Modeling Individual leaf based on leaf length and width measurement”, 48, pages 9-15, 2010. [2]. C. Feng, Quwang, Yunming Du, “Face Detection Based on Membership and Geometry Feature”, Harbin, 31(8), pages. 84-87, 2007. [3]. M. Vidal Naquet and S. Ullman, “Object Recognition with informative Features and Linear Classification”, IEEE, International Conference on Computer Vision (ICCV), Pages 281-288, October 2003. [4]. Mohammad A, Yassin H., Fekadu D., Hussen S., “Effect of flower bud removal growth and yield of anchote root accession”, 1, pages 7-13, 2013. [5]. J Sivic and A. Zisserman, “Efficient Visual Search of Videos cast as text Retrieval” Volume 31, pages 591-606, April 2009. [6]. A.S. Samra, S.EI, Taweel Gad Allah, and R.M. Ibrahim, “Face Recognition using Wavelet Transform, Fast Fourier Transformation and discrete Cosine Transform in Circuit and System”, IEEE, 46th Midwest Symposium, Volume 1, Pages 272-275, Dec.2003. [7]. Huchuan Lu and Hui Lin, “Gender Recognition using Ad boosted Feature”, 3rd International Conference on Natural Computation, Volume 2, Pages 646-650, Aug. 2007. [8]. Zisheng Li, J. Imai, and M. Kaneko, ”Robust Face Recognition using Block Based bag of Words”, 20th International Conference on Pattern Recognition (ICPR), Pages 1285-1288, Aug 2010. [9]. Jonathan M. Blackledge, “Digital Image Processing”, Harwood Publishing, Chinchester, West Sussex, 2005. [10]. Rouphael Y., Rivera C.M., Buttaro D., Colla G., Gonella M., “Simple and accurate allometric model for leaf area estimation”.53, pages 1-8, 2015. [11]. J.G. Wang E. Sung, J. Li and W.Y. Yau, Boosting dense sift descriptors and shape contexts of face images for gender recognition. IEEE Conference on Computer Vision and Pattern Recognition Workshop, Pages 96-102, June 2010. [12]. L.L. Yu D. Gonzalez-Jimenez, J.L. Alba- Castro and P. Dago-Casas, “Single and cross- database benchmarks for gender classification under unconstrained setting”, IEEE International Conference on Computer Vision Workshop, Pages 2152-2159. Nov’2011. [13]. Oana G. Cula and Krstin, J. Dana, 3D Texture recognition using bidirectional feature histograms, Volume-59, 2004. [14]. H. Singh and S.K. Pandey, “A simple cost effective method for leaf area estimation”, pages 1-6, 2011. [15]. Steven L Edins, “Image Processing” 1993.