region growing

For a selected moving object, frame difference and region growing methods were used to segment target, and the dominant color was extracted.

Firstly, employ adaptive region growing method to split local neighborhood of the seed pixel into consistent sub-neighborhoods.

After binary image was obtained, four-domain region growing algorithm was presented to differentiate and get rid of the noise areas.

This method greatly solves ex-segmentation problem and discontinuous edge when edge detection or region growing technique is adopted.

This framework has been applied to region growing and threshold-based level set algorithms to segment lots of slice images.

The algorithm consists of three steps: edge and critical point detection, triangulation, and region growing.

The most important idea about the improved method was an adaptive region growing criteria.

In this paper, we present an automatic seeded region growing (SRG) algorithm for color image segmentation.

We used frame difference and region growing method to divide target and get main color information.

Based on the runway extraction result, the location and the aspect of the airport region are detected using region growing and KL transform.

A segmentation algorithm based on histogram analysis and region growing method was proposed for the CT images of plant root in this paper.

This paper proposes a hybrid method based on threshold segmentation and region growing algorithm to estimate the approximate area of cell.

A segmentation algorithm based on threshold analysis and region growing method is proposed for the CT images of plant root.

Then, the object area is extracted through region growing method.

This paper proposes a new approach based on difference operator and region-growing to automatically recognize cell image.

Secondly, seed pixel region growing is performed based on the hue similarity criterion and the results of edge detection.

The image segmentation methods based on improved region growing was introduced in the paper.

The best active edge is an active one which can make region growing easy and avoid geometry error.

An ROI search algorithm based on edge detection and region growing is proposed.

This paper presents a new kind of algorithm for cell image segmentation, which is based on region-growing and watersheds.

The centre of France is a big, agricultural region, growing crops such as wheat and sunflowers, and there are many vineyards.

A Region-growing Version of Watershed Algorithm and Its Application to Segmentation of Image Sequences

A Measurement of Tumor Segmentation Based upon Multi-Tolerance Region Growing Procedure

Motion based region growing segmentation scheme for sequential images

An Improved Region Growing Algorithm for the CT Images Segmentation of Plant Root

Interactive segmentation method with SVM and region growing

A region growing phase unwrapping algorithm based on local frequency estimation for interferometric SAR

Segmentation of Ultrasonic Medical Image Based on A Symmetric Region Growing Algorithm

Multiple Object Parallel Region Growing for Image Segmentation Based on Support Vector Machines

An Algorithm For Detecting Components of the Printed Circuit Board Based on Region-Growing

Image Dense Stereo Matching by Technique of Region Growing

Multiple region parallel region growing for image segmentation based on Gaussian-mixture model

Biological image segmentation method based on region growing arithmetic

Accurate image segmentation based on support vector region growing and active contour model

shadow path mark segmentation method based on region - growing for intelligent vehicle

A Novel Color Image Segmentation Algorithm Based on Vector Quantization and Region Growing

An Image Segmentation Algorithm Based on Maximal Variance Between-Class and Region Growing

A New Approach for Cell Automatic Recognition Based on Difference Operator and Region-growing

Landscape Multi-Scale Image Analysis Based on the Region Growing Segmentation

Natural Color Image Segmentation Based on Phase Congruency and Region Growing

Central Region Growing Up and the Trends of Development of Wuhan

A Multi-scale Remote Sensing Image Segmentation Algorithm Based on Region Growing

Cell Image Segmentation of Gastric Cancer Based on Region-Growing and Watersheds

An infrared image segmentation method based on edge detection and region growing

Ultrasonic Image Segmentation Based on Region Growing Method

Defect Inspection of Ceramic Tile Surface Based on BP Neural Network and Region Growing

Study on image tracking base on region growing

Parallel region growing for image segmentation based on SVM with rejection

The Crowed Image Segmentation Based on Texture Analysis and Region Growing

Region-Growing Mesh Reconstruction Based on Hybrid Strategy

A Novel Color Image Segmentation Based on Color Information and Region Growing

Stereo matching algorithm of adaptive window based on region growing

Contour Line Extraction Algorithm Based on Region Growing

An Algorithm for Lane Departure Detection Based on Scan line and Region Growing

Segmentation Algorithm of Tree Ring Image Based on Region Growing

A Clustering Method for Localizing Oil Houses Based on Region-growing

A Algorithm for Segmenting CT Sequence Image Based on Region Growing

Image segmentation of region-growing based on entropy

A Black Image Segmentation System Based on Region Growing

Interactive region growing for image segmentation based on SVDD