Research on various image processing techniques

Maria Riasat *

Department of Computer Science University of Lahore Lahore.
 
Research Article
Open Access Research Journal of Chemistry and Pharmacy, 2021, 01(01), 005–012.
Article DOI: 10.53022/oarjcp.2021.1.1.0029
Publication history: 
Received on 05 March 2021; revised on 14 April 2021; accepted on 18 April 2021
 
Abstract: 
Digital image processing deals with the manipulation of digital images through a digital computer. It is a subfield of signals and systems but focuses particularly on images. DIP focuses on developing a computer system that can perform processing on an image. The input of that system is a digital image and the system process that image using efficient algorithms and gives an image as an output. The most common example is Adobe Photoshop. It is one of the widely used applications for processing digital images. The image processing techniques play a vital role in image Acquisition, image pre-processing, Clustering, Segmentation, and Classification techniques with different kinds of images such as Fruits, Medical, Vehicle, and Digital text images, etc. In this study, the various images remove unwanted noise and performance enhancement techniques such as contrast limited adaptive histogram equalization.
 
Keywords: 
Image Acquisition; Image preprocessing; Image enhancement; Clustering; Region of Interest (ROI) Classification
 
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