Open AccessDIGITAL IMAGE PROCESSING AND RECOGNITION USING PYTHON
Author(s) -
D. Sri Shreya
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v05i10.046
Subject(s) - python (programming language) , artificial intelligence , computer science , computer vision , gaussian blur , pixel , digital image , gaussian , grayscale , image processing , transformation (genetics) , image (mathematics) , digital image processing , pattern recognition (psychology) , image restoration , biochemistry , chemistry , physics , quantum mechanics , gene , operating system
In this project, the primary aim will be theconversion of images into Grayscale in which conversion ofpixels to array takes place and apply Blur effect using TheGaussian blur which is a type of image-blurring filter thatuses a Gaussian function which also expresses the normaldistribution in statistics for calculating the transformationto apply to each pixel in the image. The above twoprocessesare applied to the input images.These two above mentioned processes can be achieved byutilizing the most relevant python libraries and functions,followed by conversion of the digital image to numericaldata and then, applying the effects to the image to get backthe image with applied effects in it.Face recognition refers to matching a face present in aninput image from the training/pre-saved dataset and byapplying Deep Learning Concept. This will be achieved bydefining a function to read and convert images to data,apply the python function, and then, recreating the imagewith results.