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Proceedings ArticleDOI

Counting objects in an image by marker controlled watershed segmentation and thresholding

Md. Sharifur Rahman, +1 more
- pp 1251-1256
TLDR
Object counting in an image is one of the major challenges in image processing and marker controlled watershed segmentation along with thresholding technique gives satisfactory result.
Abstract: 
Object counting in an image is one of the major challenges in image processing. Image segmentation is used to segregate similar particles which help counting approximate total number of particles. Watershed segmentation technique is considered to be most efficient technique to solve problems of segregation contiguous objects. Thresholding technique is needed for counting objects in an image. Counting only with thresholding technique can give wrong impression. Using marker controlled watershed segmentation along with thresholding technique gives satisfactory result.

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Citations
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Journal ArticleDOI

A robust, high-throughput method for computing maize ear, cob, and kernel attributes automatically from images.

Nathan D. Miller, +7 more
- 01 Jan 2017 - 
TL;DR: This system for measuring maize ear, cob, and kernel attributes is being used by multiple research groups as an automated Web service running on community high-throughput computing and distributed data storage infrastructure.
Posted Content

An Image Processing based Object Counting Approach for Machine Vision Application.

Mehmet Baygin, +3 more
- 16 Feb 2018 - 
TL;DR: The proposed approach is based on Otsu thresholding and Hough transformation and performs automatic counting independently of product type and color and gives fast, accurate and reliable results.
Journal ArticleDOI

Automated mesenchymal stem cell segmentation and machine learning-based phenotype classification using morphometric and textural analysis.

Sakina Mohammed Mota, +7 more
- 01 Jan 2021 - 
TL;DR: In this paper, an image analysis approach to objectively determine morphological phenotype of mesenchymal stem cells (MSCs) for prediction of culture efficacy was presented, which was trained using phase-contrast micrographs acquired during the early and mid-logarithmic stages of MSC expansion.

Nuclei counting in microscopy images with three dimensional generative adversarial networks

Shuo Han, +5 more
TL;DR: Both the counting accuracy and the object-based evaluation show that the proposed technique is successful for counting nuclei in 3D.
Proceedings ArticleDOI

Automated object counting for visual inspection applications

Aniket A. Khule, +2 more
TL;DR: An automatic counting method which requires only tolerance to be specified to calculate count of object is proposed which can be easily applied to different applications and shows high accuracy.
References
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Book

Digital Image Processing Using MATLAB

Rafael C. Gonzalez, +2 more
TL;DR: 1. Fundamentals of Image Processing, 2. Intensity Transformations and Spatial Filtering, and 3. Frequency Domain Processing.
Proceedings ArticleDOI

A new method for image segmentation

Wang Guitang, +4 more
TL;DR: A new segmentation method which is based on the morphology method, fuzzy K-means algorithm and some parts operator of the Canny algorithm, and the course of Canny operator that calculating the value and direction of grads, non-maxima suppression to the grad value and lag threshold process into the post-treatment process is introduced.
Journal ArticleDOI

Medical Image Segmentation by MarkerControlled Watershed and Mathematical Morphology

Ahmad El Allaoui
- 30 Jun 2012 - 

A New Method for Image Segmentation

S. Dhanalakshmi, +1 more
TL;DR: New image segmentation algorithms based on information bottleneck method, including the split-and-merge algorithm, the histogram clustering algorithm, and the registration based segmentation for two registered multimodal images are used.