In theory, image recognition involves judging based on the colors and shapes displayed on the monitor, but in actual operation, more issues may arise. There are various methods for image recognition, and the most important factor is the accumulation of experience in daily work. Under normal circumstances, image recognition mainly relies on: 1. Color judgment; 2. Shape judgment; 3. Use of the zoom key; 4. Use of function keys.</p><p><strong>I. Overall Image Analysis Method</strong><br>Interpret the entire image from the center outward. Observe every detail of the image to determine whether the items in it are interconnected. If suspicious explosive items are encountered, an overall judgment should be made based on the presence of power sources, wires, timing devices, detonation devices, etc.</p><p><strong>II. Color Analysis Method</strong><br>The screening operator can identify the inspected item based on the colors in the X-ray image. After X-ray penetration, the colors displayed in the image mainly fall into four categories: orange, blue, green, and black. Based on the different colors in the image, the composition of the item passing through the machine can be roughly determined.</p><p><strong>III. Shape Analysis Method</strong><br>The shape analysis method judges items based on their outlines in the X-ray image. For items with relatively obvious external features (such as scissors, pistols, etc.), the shape analysis method can be used for identification.</p><p><strong>IV. Function Key Analysis Method</strong><br>The function key analysis method refers to making full use of the functions of the function keys to conduct comprehensive analysis and comparison of the image for judgment. The main function keys of the security inspection machine include zoom, organic/inorganic removal, inversion, brightening, and image enhancement.<br>1. Zoom key<br>The zoom key can enlarge the X-ray image to help identify details of the item under inspection.<br>2. Organic/inorganic removal key<br>The organic/inorganic removal key can remove the colors representing organic or inorganic substances, allowing for identification of one type of substance.<br>3. Inversion key<br>The inversion key can display the X-ray image in black-and-white inverted effect. When it is necessary to identify items with lower density or lighter-colored parts, the inversion key can be used to help determine the outline of the item.<br>4. Brightening key<br>The brightening key can enhance the brightness of the X-ray image. When the X-ray image is too dark, the brightening key can be used to help identify the item.<br>5. Image enhancement key<br>The image enhancement key can make originally unclear X-ray images clearer or emphasize specific features, enlarging the differences between features of different items in the X-ray image to facilitate item identification.</p><p><strong>V. Key Point Analysis Method</strong><br>The key point analysis method refers to conducting focused analysis on items in the X-ray image whose nature is difficult to determine, items that X-rays cannot penetrate, or areas of suspicion.</p><p><strong>VI. Symmetry Analysis Method</strong><br>The symmetry analysis method refers to finding symmetrical points based on the structural characteristics of the luggage in the X-ray image, mainly analyzing and comparing asymmetric point-like or line-like items in the luggage structure to discover suspicious items.</p><p><strong>VII. Feature Analysis Method</strong><br>The feature analysis method, also known as the structural analysis method, refers to identifying items by capturing certain features in the structure of an item.</p><p><strong>VIII. Commonality Analysis Method</strong><br>The commonality analysis method, also known as the structural analysis method, refers to identifying items by capturing certain features in the structure of an item.</p><p><strong>IX. Associative Analysis Method</strong><br>The associative analysis method refers to inferring other items based on one identifiable item in the X-ray image.</p><p><strong>X. Conventional Analysis Method</strong><br>Determine whether the items displayed in the image violate conventional norms. For example, if the shape, color, or structural features of items in the image differ significantly from images of common items.</p><p><strong>XI. Elimination Method</strong><br>First eliminate items that have already been identified, then conduct focused analysis on the remaining item images. For example, first eliminate confirmed safe items in the image (such as phones, chargers, coins, etc.), then conduct focused analysis on the remaining images.</p><p><strong>XII. Angle Analysis Method</strong><br>The angle analysis method refers to making judgments by analyzing the characteristics of items in the X-ray image from various angles.</p><p><strong>XIII. Comprehensive Analysis Method</strong><br>Use several of the above methods simultaneously to analyze and interpret the image. For example, when interpreting a laptop, methods such as key point analysis, associative analysis, and feature analysis can be used for interpretation.</p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p>
In theory, image recognition involves judging based on the colors and shapes displayed on the monitor, but in actual practice, more issues may arise. There are various image recognition methods, and the most important one relies on daily experience accumulation. Under normal circumstances, image recognition mainly relies on: 1. Color judgment; 2. Shape judgment; 3. Use of the zoom function; 4. Use of function keys.
1. Overall Image Assessment Method
Interpret the entire image from the center outward. Examine every detail of the image to determine whether the items in it are interconnected. If a suspected explosive item is found, make an overall judgment based on factors such as the presence of a power source, wires, timing devices, and detonation devices.
2. Color Analysis Method
Security screening operators can identify the inspected object based on the colors in the X-ray image. After X-ray penetration, the colors displayed in the image are mainly orange, blue, green, and black. By observing the different colors, the composition of the items passing through the machine can be roughly determined.
3. Shape Analysis Method
The shape analysis method involves judging items based on their outlines in the X-ray image. For items with obvious external features (such as scissors or handguns), this method can be used for identification.
4. Function Key Analysis Method
The function key analysis method refers to fully utilizing the functions of the function keys to conduct comprehensive analysis and comparison of the image for judgment. The main function keys on security screening equipment include zoom, organic/inorganic material removal, inversion, brightness enhancement, and image enhancement.
1. Zoom key
The zoom key enlarges the X-ray image to help identify details of the object being inspected.
2. Organic/inorganic material removal key
This key removes the colors representing organic or inorganic materials, allowing for identification of one type of material.
3. Inversion key
The inversion key reverses the black-and-white display of the X-ray image. When identifying items with low density or lighter-colored areas, the inversion key can be used to help determine the outline of the item.
4. Brightness enhancement key
This key enhances the brightness of the X-ray image. When the image is too dark, the brightness enhancement key can be used to assist in identifying items.
5. Image enhancement key
This key clarifies originally unclear X-ray images or emphasizes specific features, widening the differences between different items in the image to facilitate identification.
5. Focused Analysis Method
The focused analysis method involves concentrating on items in the X-ray image that are difficult to identify, items that X-rays cannot penetrate, or areas of suspicion for detailed analysis.
6. Symmetry Analysis Method
The symmetry analysis method involves finding symmetrical points based on the structural characteristics of the luggage in the X-ray image, primarily targeting asymmetrical point-like or line-like items in the luggage structure for analysis and comparison to detect suspicious items.
7. Feature Analysis Method
The feature analysis method, also known as structural analysis, involves identifying items by focusing on certain features in the structure of an object.
8. Commonality Analysis Method
The commonality analysis method, also known as structural analysis, involves identifying items by focusing on certain features in the structure of an object.
9. Associative Analysis Method
The associative analysis method involves inferring other items based on an identifiable item in the X-ray image.
10. Conventional Analysis Method
Determine whether the items shown in the image violate conventional norms. For example, if the shape, color, or structural features of the items differ significantly from common item images.
11. Elimination Method
First eliminate items that have already been identified, then conduct focused analysis on the remaining item images. For example, first exclude confirmed safe items (such as phones, chargers, and coins) from the image, then analyze the remaining images in detail.
12. Angle Analysis Method
The angle analysis method involves making judgments by analyzing the characteristics of items in the X-ray image from various angles.
13. Comprehensive Analysis Method
Use several of the above methods simultaneously to analyze and interpret the image. For example, when interpreting a laptop, methods such as focused analysis, associative analysis, and feature analysis can be used.
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