image processing

The main goal is to propose a model for quality control in the defense industry, utilizing image processing and fuzzy transform. Emphasis is on selecting the optimal generalized fuzzy transform section for image compression to enhance the performance of defense and combat weapons.

The methodology employs modern image processing and fuzzy transform techniques for statistical quality control. High-volume data analysis occurs in production lines, managing processes for defense and combat weapon products like glass and metals. MATLAB is the implementation platform, emphasizing the optimal selection of the generalized fuzzy transform section for image compression and processing.

MATLAB validation confirms the success of our model in quality control for defense systems. Comparative studies show the triangular fuzzy section model excels, especially in defect detection post-illumination changes, surpassing Kusha et al. in most cases.

In conclusion, our study emphasizes the vital role of image processing and fuzzy transform techniques in defense. The developed model successfully achieves quality control goals, optimizes processes, and enhances defense and combat weapon quality. This reflects a growing industry trend, with an increasing adoption of these methods to meet goals and address challenges.

Breast cancer is one of the most important and common types of cancer in the world. There are two types of breast cancer: benign cancer and malignant cancer. The benign condition has poor growth in the body and is rarely distributed in other areas of the body and also has certain characteristics. But in the malignant type, we see a tendency to spread faster, which is dangerous for a person's life. Therefore, its classification into these two modes is very necessary and important for diagnosis and treatment.

First, mammographic images of patients' breasts were evaluated with the help of doctors and then the images were processed. At this stage, we succeeded in using fuzzy logic to identify cancer and its type more quickly.

In this article, a new algorithm for the diagnosis of benign and malignant cancers is proposed. Each of the benign and malignant branches has two types of tumor adenosis and phyllodes tumor, and malignant has two types of duct cancer and papillary cancer. In this article, we propose an algorithm for diagnosing breast cancer that includes four steps. The first stage is the preprocessing stage, the second stage is for image analysis, which uses wavelet transform to analyze images, and the third stage is the extraction of useful features that we use the results of wavelet transform to obtain it, and the fourth stage That is, we use fuzzy logic to identify two types of benign or malignant images.

Originality/Value:

A new way to diagnose the disease and prevent it from becoming malignant is very important.

Drivers’ behavior, traffic control, and accidents are under the effect of actual role and performance of vertical and horizontal signs especially road marking. Road marking alone or as a supplement for other traffic signs, has a positive performance in modifying behavior model of road users. Some conditions, such as separation channels or traffic lines, separation of shuttle routes, identifying limit cross crossing pedestrian, marking are the only facility of transferring regulations and regulator driver’s behavior. Moving vehicles from the middle and the center of traffic lanes is one of the correct behavior patterns that have been considered by city managers. One of the issues in desert areas and places with precipitation with long time after a short time, road marking of city streets and roads between cities under the influence of pollution and the effectiveness of wheeled vehicles; their efficiency and their message transferring is reduced very much. The aim of this study was to investigate the effects of horizontal signs especially road marking, on driver’s behavior model in the city for lane keeping in different conditions the status of road marking in the main streets of the city, the image-processing tools is used for determining the status of road marking and the quality of the convey a message as well as for detecting the color contrast. The results of studies before and after the new road marking shows the average lateral deviation model of vehicles and drivers tendency were modified a rate of 19% for moving in the middle of traffic lanes. Officials of NAJA traffic police and city managers can make decisions more effective according to the results of this research with respect to the status of road marking and convey their message in the renewal priorities and reforming marking city streets.