Image Processing: Image processing involves manipulating or altering digital images to improve their quality or extract meaningful information from them. This skill is measured in the test to assess the candidate's ability to apply various techniques and algorithms to process images effectively.
Computer Vision: Computer vision is the field of study that focuses on enabling computers to understand and interpret visual information from digital images or videos. Measuring this skill in the test helps evaluate the candidate's understanding of computer vision concepts and their proficiency in applying computer vision algorithms to analyze visual data.
Feature Detection: Feature detection refers to the process of identifying and locating specific features or patterns within an image. This skill is measured to gauge the candidate's ability to identify and extract relevant features from images, which is crucial for tasks like image recognition, tracking, and matching.
Object Recognition: Object recognition involves recognizing and classifying objects or specific patterns within an image or video. Measuring this skill in the test helps assess the candidate's knowledge of object recognition algorithms and their ability to utilize such techniques for tasks like object detection, classification, and localization.
Image Filtering: Image filtering pertains to the process of enhancing or altering images by applying various filters or convolutional operations. This skill is measured to evaluate the candidate's proficiency in performing image filtering operations using different filters like blur, sharpen, edge detection, etc., and understanding their impact on image quality and appearance.
Image Enhancement: Image enhancement involves improving the visual quality or information content of an image to make it more visually appealing or suitable for further analysis. Measuring this skill in the test helps ascertain the candidate's ability to apply appropriate enhancement techniques, such as contrast adjustment, noise reduction, and histogram equalization, to enhance image details and overall quality.
Image Segmentation: Image segmentation refers to the process of partitioning or dividing an image into meaningful regions or segments based on specific criteria or image properties. Measuring this skill in the test allows the assessment of the candidate's capability to apply algorithms and techniques for image segmentation, which is essential for tasks like object recognition, scene understanding, and image editing.
Camera Calibration: Camera calibration involves estimating the camera parameters that enable mapping of 3D points to their corresponding 2D image coordinates. This skill is measured in the test to evaluate the candidate's understanding of camera calibration techniques and their ability to calibrate cameras for tasks like 3D reconstruction, pose estimation, and augmented reality.
Image Stitching: Image stitching is the process of combining multiple overlapping images to create a single panoramic image. Measuring this skill in the test helps assess the candidate's knowledge of image stitching algorithms and their ability to accurately align and blend multiple images to produce seamless panoramas.
