The city of Derna has distinctive architectural and architectural features, like other Arab and Islamic cities in the Arab West and North Africa. Its markets and shops have taken many different forms and structural forms within the urban fabric of the central commercial zone. The meeting between the various commercial and handicraft jobs and consumers within a spatial area starting with the old markets of the dark market and the agency of the harvest and vegetable market and the mosque of the old and the square of the mosque and the Red Square and the square Kharazin. It then grew linearly towards commercial hubs that were associated with the city's expansion axes. Old markets represent the architectural and planning heritage associated

يمر العالم و المنطقة العربية وضعاً استثنائياً في ظل انتشار فايروس كورونا - 19 - المستحد وما تبعها من تداعيات على جميع الاصعدة في ظل تأثير تلك الجائحة وعلى شتى الاصعدة والمجالات كونها متداخلة ومترابطة معاً، ولاسيما القطاع الاقتصادي المهم الذي ينعكس بصورة مباشرة على المجالات الأخرى، لكون هذا الجانب الاساس الذي يميز المنطقة العربية فهي منطقة غنية بالموارد الطبيعية كالنفط و الغاز الطبيعي، فضلا عن الموقع الاسترا

The aim of the study is to detect the malignant conditions of the skin tumors through the features of optical images. This research included some of image processing techniques to detect skin cancer as a strong threat to human beings' lives. Using image processing and analysis methods to improves the ability of pathologists to detect this disease leading to more specified diagnosis and better treatment of them. One hundred images were collected from Benign and Malignant tumors and some appropriate image features were calculated, like Maximum Probability, Entropy, Coefficient of Variation, Homogeneity and Contrast, and using Minimum Distance method to separate these images. These features with Minimum Distance as a proposed making decision a

In this work we present a technique to extract the heart contours from noisy echocardiograph images. Our technique is based on improving the image before applying contours detection to reduce heavy noise and get better image quality. To perform that, we combine many pre-processing techniques (filtering, morphological operations, and contrast adjustment) to avoid unclear edges and enhance low contrast of echocardiograph images, after implementing these techniques we can get legible detection for heart boundaries and valves movement by traditional edge detection methods.