The color-based segmentation process can be outlined as follows: 1.Convert the input image to the color space of choice 2.Apply K-means clustering algorithm to segment the K different colors in the ...

MATLAB can perform image segmentation using different methods, such as thresholding, edge detection, region growing, watershed, clustering, and graph-based algorithms. MATLAB also allows you to ...

Welcome to the Image Segmentation Algorithm project! This MATLAB-based algorithm is designed to separate images of receipts from other image types using fundamental image processing techniques. ...

Face detection is an important process used to extract faces from static images or video frames. In this paper, a face detection system is demonstrated using skin color segmentation algorithm.

This is a program for colour separation in an image. The program can be modified for a specific application, such as color detection in the processing industry (food, textile, etc.) or robotic vision ...

Image segmentation is a classic subject in the field of image processing and also is a hotspot and focus of image processing techniques. With the improvement of computer processing capabilities and ...

This paper presents an unsupervised color segmentation technique to divide skin detected pixels into a set of homogeneous regions which can be used in face detection applications or any other ...

Therefore, to ensure that the segmentation results remain stable when segmenting an image, for the k-means algorithm, the optimal K value for each image to be segmented is determined using the elbow ...

Image segmentation is a classic subject in the field of image processing and also is a hotspot and focus of image processing techniques. With the improvement of computer processing capabilities and ...