Basic functions: Linear functions
Linear functions
By convention is called a linear function (another term for first degree function) in if the function definition can be written as
The graph of originates from the graph of the function by vertical multiplication with respect to the -axis followed by a vertical translation.
The graph of is a straight line with gradient or slope , and vertical intercept .
Below is the graph of the linear function
The slope can be found in the graph. The slope is in fact the ratio of the increment of and the increment of . For example, between and the increment of is equal to , and the increment of is equal to . The quotient is .
TThe intercept with the vertical axis can be read in this case directly in the graph because the function value at is visible. If this is not the case, then you must read another point, say , in the graph and calculate the intercept as , under the assumption that you have already determined the slope before.
Application in image processing An application of linear functions in image processing is a linear change in brightness and contrast by applying the function
Linear model of a receptive field of a neuron The receptive field of visual neuron is the area in the visual field where the firing pattern changes when it is stimulated by certain visual stimuli. Assume that the response of a nerve cell to one visual image is a firing pattern with frequency and that the response to another visual image a firing pattern with frequency . In a linear stimulus-response model, the response of this cell to the average stimuls will be a firing pattern with frequency . If one stimulus, say is kept constant and the other stimulus varies, we get in this model a linear function of the stimulus to the firing frequency .
Please note that this is a mathematical model only, because this model could result in an unrealistically high firing frequency in response to a strong stimulus.
Mathcentre video
Linear Functions (18:56)