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Deva Prasad, S.
- Segmentation of Sonar Images Based on Adaptive Thresholding with Image Histogram
Abstract Views :153 |
PDF Views:2
Authors
Rajkumar Goswami
1,
G. Sasi Bhushana Rao
2,
S. Swapna Rani
1,
M. N. V. S. S. Kumar
3,
S. Deva Prasad
3,
G. Hemanth Kumar
4
Affiliations
1 Andhra University, IN
2 Electronics and Communication Department, Andhra University, Visakhapatnam, IN
3 Andhra University, Visakhapatnam, IN
4 GNITS, Hyderabad, IN
1 Andhra University, IN
2 Electronics and Communication Department, Andhra University, Visakhapatnam, IN
3 Andhra University, Visakhapatnam, IN
4 GNITS, Hyderabad, IN
Source
Digital Image Processing, Vol 2, No 3 (2010), Pagination: 89-95Abstract
With the advancement of technology, the imaging sonars have become the reality and their usage has been extensive in the area of obstacle avoidance in respect of Autonomous Underwater Vehicle (AUV). The underwater environment being heterogeneous, the sonar images have a very complex background, low contrast, and deteriorative edges. These characteristics, therefore, pose the difficulties for extracting the objects from the sonar images. In this paper we have reviewed the various existing image processing techniques in respect of the sonar images and discussed their shortcomings. After discussing the existing image processing techniques and their limitations, an algorithm has been proposed for processing these sonar images effectively and the results have also been compared with the results of existing techniques. Extracting the obstacle (objects) aspects such as range, bearing, size, shape, speed and course from the images received from Sonar are very important for the AUV in order to avoid the collision from the obstacles those may come into its path. Another very important criterion is the time taken to process the image, which must be as least as possible in order to provide more time for the AUV to take evasive action. For achieving this, proper segmentation of sonar images is a very important step in order to identify the objects (or obstacles) correctly in the least possible time. Several algorithms have been developed in the past for segmentation of images, however these methods did not provide the desired results when subjected to the real sonar images. Therefore a new segmentation method for processing the underwater Sonar images was developed by taking into account the available techniques and domain knowledge. This method is based on the thresholding of the image in which the threshold is calculated adaptively on iterative basis by taking the parameters of image histogram into consideration. The initial threshold value for each individual region of image has been selected by taking the histogram of the region under consideration. Adaptive thresholding utilizes a local window for each individual pixel and computes the new intensity value, based on the local histogram defined in the local window. This is then followed by the morphological, dilation and erosion operations before producing the final segmented image. The performance of the proposed algorithm has been compared with the other existing methods such as Edge detection, Adaptive Thresholding, Fuzzy C Means Clustering (FCM) and Adaptive Histogram Equalization. The results have also been presented in the tabulated form in addition to the segmented images. It has been concluded from the results that the proposed segmentation method achieves better segmentation results in respect of sonar images and is also highly efficient as it takes the least time for segmentation amongst all the methods.Keywords
Adaptive Threshold, Histogram, Segmentation, Sonar.- Extraction of 3-Dimensional Features by Analyzing Underwater Images Obtained from SONAR Fitted on Autonomous Underwater Vehicle (AUV)
Abstract Views :130 |
PDF Views:2
Authors
G. Sasi Bhushana Rao
1,
Rajkumar Goswami
2,
S. Deva Prasad
3,
M. N. V. S. S. Kumar
4,
S. Swapna Rani
5
Affiliations
1 Electronics & Communication Engineering Department, Andhra University Engineering College, Visakhapatnam, IN
2 Andhra University College of Engineering, Visakhapatnam, IN
3 University College of Engineering, Andhra University, Visakhapatnam-530003, IN
4 Department of Electronics & Communication Engineering, University College of Engineering, Andhra University, Visakhapatnam-530003, IN
5 Electronics and Communication Engineering Department, Andhra University, Visakhapatnam, IN
1 Electronics & Communication Engineering Department, Andhra University Engineering College, Visakhapatnam, IN
2 Andhra University College of Engineering, Visakhapatnam, IN
3 University College of Engineering, Andhra University, Visakhapatnam-530003, IN
4 Department of Electronics & Communication Engineering, University College of Engineering, Andhra University, Visakhapatnam-530003, IN
5 Electronics and Communication Engineering Department, Andhra University, Visakhapatnam, IN
Source
Digital Image Processing, Vol 2, No 2 (2010), Pagination: 25-30Abstract
With the advent of Imaging SONAR, the field of underwater imaging has been gaining lot of importance especially for Autonomous Underwater Vehicle (AUV) for obstacle avoidance.AUV is the underwater robot used for detecting the underwater mines, monitoring and surveillance of coastline and important dense traffic movement ports and other vital defence installations. The AUV applications include the obstacle trajectory tracking, obstacle avoidance and intelligence surveillance and reconnaissance(IRS). The heart of the AUV system depends on the performance of the SONAR. SONAR provides the navigation and guidance by mounting it on the AUV and operates on the principle of acoustic wave propagation. SONAR provides only the location of the object in terms of range and bearing and the objects dimensions (length and thickness) but not the obstacle depth information. For effective maneuvering and for analyzing the target features especially for collision avoidance, the depth information of the object in 3Dimensions is important. In order to know the depth of the obstacle using 2D SONAR, the 2-Dimensional images of the obstacle at different elevation angles are obtained and are used to reconstruct the 3D. This is achieved by scanning the object at various depths. There can be two conditions one in which the SONAR beam partially covers the object, and the second in which SONAR beam covers the complete object. The algorithms developed for this analysis of SONAR data demonstrate the usefulness of the proposed system in the process of converting 2D to 3D information. In this paper a method along with the algorithm that has been designed and developed to calculate the aspect of the target in 3 Dimensions from the 2 Dimension images received from the imaging SONAR by scanning the objects at the various depths is presented. It has been concluded that by using the proposed method and by implementing the proposed algorithm in the 2D SONAR, the high precision 3D aspect of objects has been achieved. The main advantages of proposed algorithm are cost saving and high precision of reconstructed objects.Keywords
2-Dimensional, 3-Dimensional, AUV, SONAR.- Experimental Investigation of Eco-Friendly Vegetable Oil as Dielectric Fluid in Electrical Discharge Machining
Abstract Views :240 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad, Telangana, IN
1 Department of Mechanical Engineering, Vignan Institute of Technology and Science, Deshmukhi, Hyderabad, Telangana, IN
Source
Manufacturing Technology Today, Vol 19, No 1-2 (2020), Pagination: 45-52Abstract
Electric Discharge Machining (EDM) is used to machine complex geometries on hard to difficult material. In this investigation, vegetable oil based dielectric fluids are used and their performance is compared with conventional dielectric fluid during the machining of Inconel 800. Two different categories of dielectrics such as vegetable oil (sunflower, canola and jatropha) and hydrocarbon oil (kerosene) are used. Three set of energy settings are used during the process to analyze the Material Removal Rate (MRR) and Tool Wear Rate (TWR). The result showed that vegetable oil based dielectric fluid showed higher MRR than conventional dielectric fluid. Also, the result of TWR is observed as higher than conventional dielectric fluid. Further studies are required to understand high TWR using vegetable oil as dielectric. This work concludes vegetable oils that are similar in dielectric properties could be used as dielectric fluid.Keywords
EDM, Dielectric fluid, Vegetable Oil, Inconel 800, Performance.References
- Jain, V.K. (2009). Advanced machining processes. Allied publishers, India
- Valaki, J.B., Rathod, P.P., & Khatri, B.C (2015). Environmental impact, personnel health and operational safety aspects of electric discharge machining: A review. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 229(9), 1481-1491.
- Puthumana, G., & Joshi, S.S. (2011). Investigations into performance of dry EDM using slotted electrodes. International Journal of precision Engineering & Manufacturing. 12(6), 957-963.
- Gholipoor, A., Baseri, H., & Shabgard, M.R. (2015). Investigation of near dry EDM compared with wet and dry EDM processes. Journal of Mechanical Science and Technology. 29(5), 2213-2218.
- Tang, L., & Du, Y.T. (2014). Multi-objective optimization of green electrical discharge machining Ti–6Al–4V in tap water via Grey-Taguchi method. Materials and Manufacturing Processes. 29(5), 507-513.
- Leao, F.N., & Pashby, I.R. (2004). Review on the use of environmentally-friendly dielectric fluids in electrical discharge machining. Journal of Materials Processing Technology. 149(1), 341-346.
- Levy, G.N. (1993). Environmentally friendly & high-capacity dielectric regeneration for wire EDM. CIRP annals. 42(1), 227-230.
- Valaki, J.B., & Rathod, P.P. (2016). Assessment of operational feasibility of waste vegetable oil based bio-dielectric fluid for sustainable electric discharge machining (EDM). International Journal of Advanced Manufacturing Technology. 87(5-8), 1509-1518.
- Ng, P.S., Kong, S.A., & Yeo, S.H. (2017). Investigation of biodiesel dielectric in sustainable electrical discharge machining. International Journal of Advanced Manufacturing Technology. 90(9-12), 2549-2556.
- Sadagopan, P., & Mouliprasanth, B. (2017). Investigation on the influence of different types of dielectrics in electrical discharge machining. International Journal of Advanced Manufacturing Technology. 92(1-4), 277-291.
- Valaki, J.B., Rathod, P.P., & Sankhavara, C.D. (2016). Investigations on technical feasibility of Jatropha curcas oil based bio dielectric fluid for sustainable electric discharge machining (EDM). Journal of Manufacturing processes. 22, 151-160.
- Valaki, J.B & Rathod, P.P. (2016). Investigating feasibility through performance analysis of green dielectrics for sustainable electric discharge machining. International Journal of Advanced Manufacturing Technology. 31(4), 541-549.
- Kumar, S., Dhingra, A.K., & Kumar, S. (2017). Parametric optimization of powder mixed electrical discharge machining for nickel based superalloy inconel-800 using response surface methodology. Mechanics of Advanced Materials and Modern Processes. 3(1), 1-7.
- Karunakaran, K., & Chandrasekaran, M. (2017). Experimental Investigation Nano Particles Influence in NPMEDM to Machine Inconel 800 with Electrolyte Copper Electrode. IOP Conference Series: Materials Science and Engineering. 197(1), 012068.
- Paul, T.R., Majumder, H., Dey, V., & Dutta, P. (2015). Study the Effect of Material Removal Rate in Die-sinking EDM for Inconel 800 using Response Surface Methodology. Journal of Material Science and Mechanical Engineering. 2(9), 27-31.
- Kumar, S., Singh, R., Batish, A., Singh, T.P. (2017). Modeling the tool wear rate in powder mixed electro-discharge machining of titanium alloys using dimensional analysis of cryogenically treated electrodes and work piece. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 231(2), 271-282.
- Giakoumis, E.G. (2013). Statistical investigation of biodiesel physical and chemical properties, and their correlation with the degree of unsaturation. Renewable Energy. 50, 858-878.
- Wang, X., Liu, Z., Xue, R., Tian, Z., & Huang, Y. (2014). Research on the influence of dielectric characteristics on the EDM of titanium alloy. International Journal of Advanced Manufacturing Technology. 72(5-8), 979-987.
- Daneshmand, S., Kahrizi, E.F., Abedi, E., & Abdolhosseini, M.M. (2013) Influence of machining parameters on electro discharge machining of NiTi shape memory alloys. International Journal of chemical science. 8(3) 3095-3104.
- Shabgard, M.R., Seyedzavvar, M., & Oliaei, S.N.B (2011). Influence of input parameters on characteristics of EDM process. Journal of Mechanical Engineering. 57(9) 689-696.
- Wu, K.L., Yan, B.H., Huang, F.Y., & Chen, S.C. (2005). Improvement of surface finish on SKD steel using electro-discharge machining with aluminum and surfactant added dielectric. International Journal of Machine Tools and Manufacture. 45(10), 1195-1201.
- Kiyak, M., Aldemir, B.E., & Altan, E. (2015). Effects of discharge energy density on wear rate and surface roughness in EDM. International Journal of Advanced Manufacturing Technology. 79(1-4), 513-518.
- Bhaumik, M., & Maity, K. (2018). Effect of different tool materials during EDM performance of titanium grade 6 alloy. Engineering Science and Technology, an International Journal. 21(3) 507-516.
- Jahan, M.P., Wong, Y.S., & Rahman, M. (2009). Study on the fine-finish die-sinking micro-EDM of tungsten carbide using different electrode materials. Journal of Materials Processing Technology. 209(8), 3956-3967.
- Kuttuboina, M.K., Uthirapathi, A., & Lenin, S.D. (2012). Effect of process parameters in electric discharge machining of Ti-6Al–4V alloy by three different tool electrode materials. Advanced Materials Research. 488, 876-880.
- Khan, A.A. (2008). Electrode wear and material removal rate during EDM of aluminum and mild steel using copper and brass electrodes. International Journal of Advanced Manufacturing Technology. 39(5-6) 482-487.
- Singh, S., Maheshwari, S., & Pandey, P.C. (2004). Some investigations into the electric discharge machining of hardened tool steel using different electrode materials. Journal of Materials Processing Technology. 149(1-3), 272-277.
- Optimization Study of Process Parameters using Genetic Algorithm in EDM
Abstract Views :244 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, IN
1 Department of Mechanical Engineering, Vignan Institute of Technology & Science, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 19, No 5-6 (2020), Pagination: 3-11Abstract
Productivity and quality in production/manufacturing have great concerns in competitive global market; manufacturing units mainly focuses on these in relation to the process and product developed subsequently. Electrical Discharge Machining process, even now it is an experience process, wherein still the selected parameters are often far from the maximum, and at the same time selecting optimization parameters is costly and time-consuming affair. Material Removal Rate during the process has been considered in this work as a productivity estimate with the objective to maximize it, also have better surface roughness, taken as important output parameter, in the process. These two opposite objectives have been simultaneously satisfied by selecting an optimal process environment, optimal parameter setting. In this work, objective function is obtained using Regression Analysis and tested for optimization using Genetic Algorithm technique. The model is shown to be effective; MRR and Surface Roughness shown improved when used optimized machining parameters.Keywords
EDM, Optimization, Process Parameters, Genetic Algorithm.References
- Bhattacharyya, B., Gangopadhyay, S., & Sarkar, B.R. (2007). Modelling and analysis of EDMED job surface integrity. Journal of Materials Processing Technology, 189(1-3), 169–177.
- Dewangan, S., Datta, S., Patel, S.K., and Mahapatra, S.S. (2011, July 13-16th). A case study on quality and productivity optimization in electric discharge machining. 14th International Conference in Advanced Materials & Processing Technologies AMPT2011, Istanbul, Turkey.
- Dhanabalan, S., Sivakumar, K., & Satyanarayanan, C. (2011). Optimization of EDM parameters with multiple Performance characteristics for Titanium grades. European Journal of Scientific Research, 68 (3), 297-305.
- Joshi, S.N., & Pande, S.S. (2011). Intelligent process modeling & optimization of die-sinking electric discharge machining. Applied Soft Computing, 11(2), 2743–2755.
- Karthikeyan, R., Lakshmi Narayanan, P.R., and Naagarazan, R.S. (1999). Mathematical modelling for electric discharge machining of aluminium-silicon carbide particulate composites. Journal of Materials Processing Technology, 87(1-3), 59-63.
- Rao, G.K.M., Rangajanardhaa, G., Rao, D.H., and Rao, M.S. (2009). Development of Hybrid Model and Optimization of Surface Roughness in Electric Discharge Machining Using Artificial Neural Networks & Genetic Algorithm. Journal of Materials Processing Technology, 209(3), 1512-1520.
- Saha, S.K., and Choudhury, S.K. (2009). Experimental investigation & empirical modeling of the dry electric discharge machining process. International Journal of Machine Tools and Manufacture, 49(3-4), 297-308.
- Tzeng, C.J., & Chen, R.Y. (2013). Optimization of electric discharge machining process using the response surface methodology & genetic algorithm approach. International Journal of Precision Engineering and Manufacturing, 14, 709-717.
- Rao, V.R. (2011). Advanced modeling & optimization of manufacturing processes. Springer Verlag Limited.
- Wang, K., Gelgele, H.L., Wang, Y., Yuan, Q., and Fang, M. (2003). A Hybrid Intelligent Method for Modeling the EDM Process. International Journal of Machine Tools and Manufacture, 43(10), 995-999.