Regional E-government Readiness in Saudi Arabia: Challenges and Opportunities (The Case of Hail Region)

In the last decades, there has been an increase in the adoption of information technologies around the world. In the developed countries as well as some developing countries, governments have adopted information and communication technologies (ICT) to enhance the access and delivery of government services to benefit citizens, businesses, industries, and employees. However, e-government represents a major alteration in the entire public sector structure, principles, culture and the means of carrying out business by making use of the potential of ICT as a device in the government organizations. Many governments around the world have presented electronic government as a way of reducing costs, advancing services for people and raising effectiveness and productivity in the public sector. Hence, e-government has been recognized as one of the main concerns for governments across the world. Though, the presentation of e-government is about a thorough modification within government and about the relationship between a government and its people. Therefore, the implementation of e-government raises significant technological, social, organizational and political issues which must be taken into consideration and treated cautiously by any government planning its implementation. However, there have been very few studies conducted to investigate, for example, the reasons for the slow progress in regional e-government programs since the introduction of the national e-government program in Saudi Arabia in 2005. Moreover, there is very little published research that emphasizes the factors inhibiting e-government initiatives in Saudi regions. Thus, this study is an attempt to explore and investigate empirically how e-government project is progressing regionally in Saudi Arabia. In addition, it identifies the various challenges and opportunities that regions face. The study used a qualitative case study by conducting 25 interviews with public sector employees in different positions from 5 government organizations in Hail city. Documents analysis was also utilized in this paper. The overall results indicated that e-government progress is still slow in Hail region, where most of the government agencies in this region are categorized to be progressing in the second stage. However, the comparison of e-government readiness between Hail, Riyadh and Madinah shows that Hail region is still away behind in the implementation of e-government services, while Riyadh and Madinah are generally classified to be progressing in the third stage (two-way service delivery). The study also indicated that there were some challenges that would hinder the implementation process of e-government adoption in Hail region. These challenges were categorized as technological, social, organizational and political. Technological challenges include (IT standards, security, privacy, accessibility, ICT infrastructure, and interoperability). However, social challenges include (awareness, transparency, e-literacy, trust, authentication, and culture). The results also showed some organizational challenges such as (strategy, change management, resistance to change, and records management). In addition to some political challenges comprising (leadership, legal and regulation issues, and funding issues). Some opportunities were found to help the organizations in Hail region to advance its e-government services such as (improving management and decision making process, organizing government business process, increasing collaboration among public organizations, increasing productivity, reducing operation cost, enhancing ICT infrastructure, increasing the exchange of data between organizations, improving the efficiency, fastening the transaction process and response, and developing new skills for employees). Generally, this paper could provide further research with knowledge about regional e-government readiness in Saudi Arabia. Furthermore, it provides a comprehensive sight on recognizing the challenges and opportunities of e-government adoption for the benefit of similar nations

Impact of Retinal Vessel Image Coherence on Retinal Blood Vessel Segmentation

Retinal vessel segmentation is critical in detecting retinal blood vessels for a variety of eye disorders, and a consistent computerized method is required for automatic eye disorder screening. Many methods of retinal blood vessel segmentation are implemented, but these methods only yielded accuracy and lack of good sensitivity due to the coherence of retinal blood vessel segmentation. Another main factor of low sensitivity is the proper technique to handle the low-varying contrast problem. In this study, we proposed a five-step technique for assessing the impact of retinal blood vessel coherence on retinal blood vessel segmentation. The proposed technique for retinal blood vessels involved four steps and is known as the preprocessing module. These four stages of the pre-processing module handle the retinal image process in the first stage, uneven illumination and noise issues using morphological operations in the second stage, and image conversion to grayscale using principal component analysis (PCA) in the third step. The fourth step is the main step of contributing to the coherence of retinal blood vessels using anisotropic diffusion filtering and testing their different schemes and get a better coherent image on the optimized anisotropic diffusion filtering. The last step included double thresholds with morphological image reconstruction techniques to produce a segmented image of the vessel. The performances of the proposed method are validated on the publicly available database named DRIVE and STARE. Sensitivity values of 0.811 and 0.821 on STARE and DRIVE respectively meet and surpass other existing methods, and comparable accuracy values of 0.961 and 0.954 on STARE and DRIVE databases to existing methods. This proposed new method for retinal blood vessel segmentations can help medical experts diagnose eye disease and recommend treatment in a timely manner

Enhancement of Medical Images through an Iterative McCann Retinex Algorithm: A Case of Detecting Brain Tumor and Retinal Vessel Segmentation

Analyzing medical images has always been a challenging task because these images are used to observe complex internal structures of the human body. This research work is based on the study of the retinal fundus and magnetic resonance images (MRI) for the analysis of ocular and cerebral abnormalities. Typically, clinical quality images of the eyes and brain have low-varying contrast, making it challenge to diagnose a specific disease. These issues can be overcome, and preprocessing or an image enhancement technique is required to properly enhance images to facilitate postprocessing. In this paper, we propose an iterative algorithm based on the McCann Retinex algorithm for retinal and brain MRI. The foveal avascular zone (FAZ) region of retinal images and the coronal, axial, and sagittal brain images are enhanced during the preprocessing step. The High-Resolution Fundus (HRF) and MR brain Oasis images databases are used, and image contrast and peak signal-to-noise ratio (PSNR) are used to assess the enhancement step parameters. The average PSNR enhancement on images from the Oasis brain MRI database was about 3 dB with an average contrast of 57.4. The average PSNR enhancement of the HRF database images was approximately 2.5 dB with a contrast average of 40 over the database. The proposed method was also validated in the postprocessing steps to observe its impact. A well-segmented image was obtained with an accuracy of 0.953 and 0.0949 on the DRIVE and STARE databases. Brain tumors were detected from the Oasis brain MRI database with an accuracy of 0.97. This method can play an important role in helping medical experts diagnose eye diseases and brain tumors from retinal images and Oasis brain images