Visual augmentation of regions within images
Among other things, one or more systems and/or techniques for visually augmenting regions within images are provided herein. An image of an object, such as a bag, is segmented to identify an item (e.g., a metal gun barrel). Features of the item are extracted from voxels representing the item within the image (e.g., voxels within a first region), such as a size, shape, density, and orientation of the item. Response to the features of the item matching predefined features of a target item to detect, one or more additional regions are identified, such as a second region proximate to the first region based upon a location of the second region corresponding to where a connected part of the item (e.g., a plastic handle of the gun) is predicted to be located. The one or more regions are visually distinguished within the image from other regions (e.g., colored, highlighted, etc.).
1. A method, comprising:
extracting features of an item within a first region of a segmented image of an object;
comparing the features of the item to predefined features of a target item to be detected;
responsive to determining that the features of the item match the predefined features within a threshold amount, identifying a second region proximate to the first region comprising the item based upon a location of the second region corresponding to where a connected part of the item is predicted to be located;
applying a visual augmentation to the second region to visually distinguish the second region from other regions depicted within the segmented image to create an augmented image; and
rendering the augmented image through a display.
2. The method of claim 1 , comprising:
performing segmentation and feature extraction upon the second region to identify the connected part; and
applying the visual augmentation to the connected part depicted within the second region.
3. The method of claim 1 , wherein the identifying a second region comprises:
identifying a size, a shape, and an orientation of the item; and
predicting where the connected part would be located with respect to the item based upon the size, the shape, and the orientation of the item.
4. The method of claim 1 , wherein the identifying a second region comprises:
identifying an axis of the item; and
defining the second region as being located at an end of the axis orthogonal to the item.
5. The method of claim 1 , wherein the identifying a second region comprises:
evaluating density of voxels within the second region to identify a set of voxels with densities within a threshold similarity; and
identifying the connected part as being represented by the set of voxels.
6. The method of claim 1 , wherein the item comprises a material with a larger density than the connected part.
7. The method of claim 1 , comprising:
performing density thresholding upon the segmented image to zero out voxels having densities below a threshold.
8. The method of claim 1 , wherein the target item has an associated threat level.
9. An apparatus, comprising:
a processor; and
a memory storing instructions that, when executed by the processor, configure the apparatus to:
identify an item within a first region of a three-dimensional image as a potential item of interest by comparing features of items depicted within the three-dimensional image to predefined features of an item of interest to be detected;
responsive to determining that features of the item match the predefined features within a threshold amount, identify a second region proximate to the first region comprising the item based upon a location of the second region corresponding to where a connected part of the item is predicted to be located;
apply a visual augmentation to the second region to visually distinguish the second region from other regions depicted within the image to create an augmented image; and
render the augmented image through a display.
10. The apparatus of claim 9 , wherein the item detection component is configured to:
apply a color augmentation to the second region.
11. The apparatus of claim 9 , wherein the item detection component is configured to:
apply a contrast augmentation to the second region.
12. The apparatus of claim 9 , wherein the item detection component is configured to:
apply an edge enhancement augmentation to the second region.
13. The apparatus of claim 9 , wherein the item detection component is configured to:
determine a predicted location of the connected part within the second region; and
apply the visual augmentation to the connected part at the predicted location.
14. The apparatus of claim 9 , wherein the item detection component is configured to:
determine a context associated with an object; and
adjust a value of the threshold amount based upon the context.
15. The apparatus of claim 14 , wherein the context corresponds to a current threat level.
16. The apparatus of claim 14 , wherein the context corresponds to information regarding an owner of the object.