• Ms.P.Sasitha
• K.Sireesha
• M.Poojitha
• R.Venkata Sai
• M.Dinesh

This paper presents a novel approach for real-time image cartoonification leveraging advanced computer vision techniques, specifically edge and contour filter methods. The proposed method aims to transform input images into cartoon-like representations while preserving important visual features and details. The process involves multiple stages, including edge detection to extract key outlines and contours, followed by a series of filtering operations to enhance and stylize the image. Additionally, real-time performance is achieved through efficient algorithm design and implementation, enabling seamless integration into various applications such as image editing software, augmented reality, and digital entertainment platforms. Experimental results demonstrate the effectiveness and versatility of the proposed approach in producing high-quality cartoon-like images with minimal computational overhead, paving the way for enhanced user experiences in visual content creation and consumption.

Bilateral Filtering, Adaptive Thresholding, Virtual Reality, Augmented Reality

"REAL TIME IMAGE CARTOONIFICATION USING COMPUTER VISION EDGE AND CONTOUR FILTER METHODS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.p548-p551, April-2024, Available :http://www.jetir.org/papers/JETIR2404G71.pdf

"REAL TIME IMAGE CARTOONIFICATION USING COMPUTER VISION EDGE AND CONTOUR FILTER METHODS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppp548-p551, April-2024, Available at : http://www.jetir.org/papers/JETIR2404G71.pdf