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2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS)最新文献

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Automatic Counting of Infected White Blood Cells Using Multi-Level Thresholding 自动计数感染白细胞使用多层次阈值
2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2019-12-01 DOI: 10.1109/ICICIS46948.2019.9014829
L. N. Mahdy, Kadry Ali Ezzat, A. Darwish, A. Hassanien
{"title":"Automatic Counting of Infected White Blood Cells Using Multi-Level Thresholding","authors":"L. N. Mahdy, Kadry Ali Ezzat, A. Darwish, A. Hassanien","doi":"10.1109/ICICIS46948.2019.9014829","DOIUrl":"https://doi.org/10.1109/ICICIS46948.2019.9014829","url":null,"abstract":"The identification of leukocytes is the primary step to analyze diseases such as leukemia which are ordinarily performed by pathologists utilizing a light binocular. These are very time consumption, monotonous, expensive and require specialists. In this way, computer assisted symptomatic framework that helps pathologists within the demonstrative strategy can be exceptionally viable. White blood cell (WBC) fragmentation is ordinarily the primary stage in computer-assisted diagnostic framework development. This paper proposed an automated method for segmenting and counting white blood cell from microscopic images. For this purpose, Otsu technique was used in segmentation of WBCs from a microscopic image, Counting WBCs and diagnoses the patient case. The proposed system achieves an accuracy of 98.2%","PeriodicalId":200604,"journal":{"name":"2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"342 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131684960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
2019 IEEE Ninth International Conference on Intelligent Computing and Information System (ICICIS 2019) 2019 IEEE第九届智能计算与信息系统国际会议(ICICIS 2019)
2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2019-12-01 DOI: 10.1109/icicis46948.2019.9014765
{"title":"2019 IEEE Ninth International Conference on Intelligent Computing and Information System (ICICIS 2019)","authors":"","doi":"10.1109/icicis46948.2019.9014765","DOIUrl":"https://doi.org/10.1109/icicis46948.2019.9014765","url":null,"abstract":"","PeriodicalId":200604,"journal":{"name":"2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128957472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hybrid Medical Image Fusion based on Fast Filtering and Wavelet Analysis 基于快速滤波和小波分析的混合医学图像融合
2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2019-12-01 DOI: 10.1109/ICICIS46948.2019.9014677
Shrouk A. El-Masry, Shady Y. El-Mashad, N. El-Attar, W. Awad
{"title":"Hybrid Medical Image Fusion based on Fast Filtering and Wavelet Analysis","authors":"Shrouk A. El-Masry, Shady Y. El-Mashad, N. El-Attar, W. Awad","doi":"10.1109/ICICIS46948.2019.9014677","DOIUrl":"https://doi.org/10.1109/ICICIS46948.2019.9014677","url":null,"abstract":"Within medical imaging, there are various modalities of medical images like CT, X-rays, MRI and other modalities that provide information about a human body in different ways. Each modality has distinctive characteristics that provide various sources of information. Therefore, there are some problems like image comparison such as CT/PET, CT /MRI, and MRI/ PET were usually meet by the clinical treatment and diagnosis. Hence the need to combine the different images' information and this process is known as ‘medical image fusion’. In this paper, two techniques for the ‘medical image fusion’ are introduced. The first proposed fusion technique is the combination of the fast filtering with the discrete wavelet transform ‘DWT’ methods for overcoming the low spatial resolution fused image provided by DWT and preserve the source images' salient features. Where we used the fast filtering method procedures for combining the corresponding ‘low-frequency coefficients’ to maintain the ‘salient features’ of the initial images, and the maximum rule with the high-frequency coefficients which lead getting better the resultant image contrast. The second proposed technique is the combination of fast filtering with stationary wavelet transform (SWT) methods, where ‘SWT’ has the shift-invariant property which enables to overcome the shift-variance DWT's drawback. The performance of the fused output is tested and compared with five of the common fusion methods like the Gradient pyramid, Contrast pyramid, DWT, Fast Filtering, and SWT techniques, using performance parameters: E, SNR, SD, and PSNR.","PeriodicalId":200604,"journal":{"name":"2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124126505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhanced Approach for Maximizing Coverage in Automated Mobile Application Testing 在自动化移动应用程序测试中最大化覆盖率的增强方法
2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2019-12-01 DOI: 10.1109/ICICIS46948.2019.9014834
Amira Samir, H. A. Maghawry, N. Badr
{"title":"Enhanced Approach for Maximizing Coverage in Automated Mobile Application Testing","authors":"Amira Samir, H. A. Maghawry, N. Badr","doi":"10.1109/ICICIS46948.2019.9014834","DOIUrl":"https://doi.org/10.1109/ICICIS46948.2019.9014834","url":null,"abstract":"Nowadays, Smartphones are an important part of our lives. It is critical to ensure the quality of their applications. By the great increase in the number of mobile applications, it is important to speed up the testing process. This could be performed using automated approaches. In this paper, different enhancements have been proposed based on combinatorial testing approach by applying improved tie-breaking strategies in order to maximize the statement coverage. We have performed experiments within 15, 30 and 60 minutes to generate test cases. We have proved that the selection of candidate events based on their weight and using Last In First Out tie-breaking strategy in choosing the event to be executed maximizes the statement coverage of test cases.","PeriodicalId":200604,"journal":{"name":"2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125499010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Analysis of Dorsal Palm Vein Pattern Recognition System 手掌背静脉模式识别系统分析
2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2019-12-01 DOI: 10.1109/ICICIS46948.2019.9014833
Sherok M. Rabie, H. M. Ebied, S. Bayoumi
{"title":"Analysis of Dorsal Palm Vein Pattern Recognition System","authors":"Sherok M. Rabie, H. M. Ebied, S. Bayoumi","doi":"10.1109/ICICIS46948.2019.9014833","DOIUrl":"https://doi.org/10.1109/ICICIS46948.2019.9014833","url":null,"abstract":"Individuals classification and recognition processes are a substantial growing field in many industry fields. In this paper, we presented a dorsal palm vein pattern recognition approach. Two approaches are presented. The first approach used the Principal Component Analysis (PCA) to extract features from images then the Multi-layer perceptron neural network for recognition step. The second approach Bag of features (BOF) used the Speeded-Up Robust Features (SURF) to extract local features from the training set for interest point selection then clustered in a representation set. The Support Vector Machine (SVM) technique is used in the classification phase. A comparison between the two approaches is proposed to observe the best approach that archived the higher classification accuracy. Here the dorsal palm vein images of the PUT database are used. The experiments show that the use of BOF is much better than PCA and MLP. Our experimental is able to recognize humans with accuracy 98% based on the BOF method.","PeriodicalId":200604,"journal":{"name":"2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126858821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Formation Flight of Fixed Wing UAV Based on Adaptive Neuro Fuzzy Inference System 基于自适应神经模糊推理系统的固定翼无人机编队飞行
2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS) Pub Date : 2019-12-01 DOI: 10.1109/ICICIS46948.2019.9014755
E. N. Mobarez, A. Sarhan, M. Ashry
{"title":"Formation Flight of Fixed Wing UAV Based on Adaptive Neuro Fuzzy Inference System","authors":"E. N. Mobarez, A. Sarhan, M. Ashry","doi":"10.1109/ICICIS46948.2019.9014755","DOIUrl":"https://doi.org/10.1109/ICICIS46948.2019.9014755","url":null,"abstract":"The leader-follower approach is interesting especially because of its simplicity and its ability to adjust the configuration and the formation size. It consists of one leader UAV and one or more follower UAVs that fly together and keep a desired distance and orientation relative to a leader UAV. The trajectory is known for the leader and may not be known for the followers in advance. In this paper cooperative control of multi-UA Vs were proposed and verified to be helpful in performing a variety of missions. The low-level control is for the single UAV and top-level control is for the configuration made up of multi-UAV. The low-level control and top-level control were proposed based on adaptive neuro fuzzy inference system to enhance the durability of the autopilot system in presence of model uncertainty. The repudiation of wind disorder and handling effect of sensor's noise are also considered. The simulation results show the effectiveness of the autopilot proposed for single UAV and for the leader-follower configuration desired.","PeriodicalId":200604,"journal":{"name":"2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121796454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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