Segmentation of Rapeseed Color Drone Images Using K-Means Clustering.
Kang YangChanghua LiuXiaoming WuHao LiPublished in: CSAE (2019)
Keyphrases
- image regions
- segmentation algorithm
- segmentation method
- images of natural scenes
- test images
- color features
- image analysis
- image pixels
- edge detection
- gray level images
- outdoor scenes
- image data
- hsv color space
- image features
- segmentation errors
- segmented images
- biomedical images
- low level image segmentation
- image segmentation
- image database
- gray value
- homogeneous regions
- skin lesion
- texture and shape features
- complex background
- image retrieval
- input image
- image registration
- texture information
- gradient information
- histogram analysis
- adaptive thresholding
- unsupervised segmentation
- color correction
- color models
- textured images
- segmentation scheme
- color segmentation
- digital imaging
- accurate segmentation
- color image segmentation
- color and texture features
- textured regions
- color images
- pixel wise
- fundamental problem in computer vision
- color and texture information
- ccd camera
- ground truth
- image processing
- multiple cues
- color regions
- pixel intensities
- pixel values
- pixel level
- segmentation accuracy
- color space
- level set
- multiple objects
- object recognition
- shape prior
- fully automatic
- image segments
- gray level
- salient regions
- color channels
- color histogram
- graph cuts
- color quantization
- medical images