A Survey on Feature Extraction Technique in Image Processing

Abstract

Image processing is a method to convert an image into digital form and perform some operations on it. It is a type of signal dispensation in which input is image, video frame or photograph and output may be image or characteristics associated with that ima Image processing basically include the nthree steps as importing the image with optical scanner or by digital photography. Analyzing and manipulating the image which includes data compression and image enhancement and spotting pattern that are not to human eyes like satellite photographs. Output is the last stage in which result can be altered and report is based on image analysis. In recent trends, image processing domain plays a virtual part of real time application in modern world. Feature extraction from an initial set of measured data and builds derived values (features) intended to be informative and non redundant, facilitating the subsequent learning and generalization steps, some cases leading to better human interpretations.

Developing a New Algorithm to Detect Right Thumb Fingernail in Healthy Human

“…Canny edge detection became one of the traditional edge detection methods, its algorithm handles in four separate steps [21]: 1. Smoothing the image (Gaussian filter was used for this objective).…”

“…ENHANCEMENT OF THE CONTRAST The analysis of the specific interval was done by determining the minimal and maximal intensity threshold values [21], then the intensity range was stretched to the full range [0-255]. The following linear mapping function was used to calculate the new pixel's brightness values: 𝐼𝑚𝑔(𝑥, 𝑦) = 𝑟𝑜𝑢𝑛𝑑( (𝐼𝑚𝑔(𝑥,𝑦)−𝑀𝑖𝑛) (𝑀𝑎𝑥−𝑀𝑖𝑛)) 𝛼×255 ………………………(8) Min: the minimum value of the intensity for the input image Max: the maximum value of the intensity for the input image α: the sigma value within the range[21].…”