Human vs Computer Vision Systems

The process by which the human eye and brain interpret visual information.

A system that uses computers to interpret and analyze images, similar to how humans use their vision.

The part of the human eye that gathers light and focuses it onto the retina.

The layer of tissue at the back of the eye that converts light into electrical signals.

How the human brain processes visual information, including color, depth, and motion.

A computer system that processes images acquired from an electronic camera.

Digital representations of visual information, often captured by cameras or scanners.

The smallest unit of information in an electronic image, usually a colored dot.

A phenomenon where the human eye perceives an exaggerated contrast at the edges of regions of different intensity, highlighting boundaries.

The ability of the eye to distinguish between different levels of brightness or luminance.

A visual system that mimics the human eye's response to light, transforming it into a logarithmic function.

A neural process that enhances contrast by inhibiting signals from neighboring regions, making edges more noticeable.

A neural network that combines signals from different sensors (cones and rods) with specific weights to achieve various filtering effects.

A process where the weighting factors in the neural signal combination are adjusted to control the contribution of different sensors.

A technique used to enhance specific features in an image by altering the weights assigned to different regions.

The ability of the human eye to easily distinguish between objects at different distances, something that computer vision often struggles with.

A type of sensor where light falling on a photodiode generates a proportional charge which is then read out as a voltage.

A transistor that is used to connect or disconnect a sensor from the signal bus, activated by a "select" signal.

A circuit within the CCD sensor that amplifies the weak signals from the photodiode, improving image quality.

A signal used to temporarily clear the accumulated charge in the sensor before capturing a new image.

The vertical and horizontal pathways in a CCD sensor that transport the charge information from each pixel to the output.

The unit that converts the charge information from the sensor to a voltage signal, making it readable by electronic devices.

A type of camera sensor technology based on a similar concept as computer memory, where light generates a charge proportional to its brightness.

A older type of camera sensor technology that uses an electron beam to scan a target surface, resulting in an image.

A function used to read an image and store the data in an array, providing both the array and image size.

An array of grey level values, representing the pixel information of an image. Each value corresponds to the brightness of a pixel, ranging from 0 (black) to 255 (white).

A function used to display an image on the screen.

An array of floating point numbers (floats) that stores data related to an image, e.g., height or color values.

The format used to access image data within an array, where the first index refers to the row and the second refers to the column of the pixel.

The process of assigning a height value to each surface sample based on the brightness of the corresponding pixel in the input image.

A function used to display the values of pixels in an image in a matrix form.

A book that offers a deep dive into computer vision topics, covering advanced techniques to describe shapes and their motion. It explores probabilistic approaches to shape and motion analysis.

A book that provides a comprehensive survey of image processing concepts, offering a foundation for understanding image manipulation.

A book that delves into the modern approaches to computer vision, covering topics like probability and tracking.

A field focusing on techniques to recognize objects by comparing patterns in images, such as using projections to match shapes.

A book that offers a broad coverage of computer vision algorithms and applications, providing a modern perspective on the field.

A book that focuses on models and learning in computer vision, emphasizing the statistical relationship between the world and image measurements.

A condensed and accessible guide to image processing fundamentals, offering a practical introduction to the field.

The process of subtracting each pixel's value from the maximum value in an image, resulting in a reversed brightness scale.

A type of M-file in MATLAB that stores functions, allowing for reusable code blocks.

A feature in MATLAB that allows for pausing execution and viewing results before continuing.

A command used to determine the size of an array or matrix, commonly used to extract the dimensions of an image.

A special symbol in MATLAB that signifies a comment, allowing for explanations and annotations within the code.

The process of reading in an image file into MATLAB for further processing or analysis.

A type of variable in MATLAB that stores a collection of numerical values, useful for representing images or matrices.

A powerful scripting language commonly used in scientific computing, engineering, and data analysis.