Local adaptive segmentation algorithm for 3-D medical image based on robust feature statistics
نویسندگان
چکیده
منابع مشابه
Robust Descriptive Statistics Based PSO Algorithm for Image Segmentation
In this research work, we have developed a bio inspired PSO algorithm in combination with descriptive statistics equation based model. In this work, based on the mathematical relationship between the Entropy, Uniformity and the threshold measured in terms of intensity. It is found using box plot and curve fitting techniques to calculate automatic input threshold for PSO. The results show highly...
متن کاملRobust Potato Color Image Segmentation using Adaptive Fuzzy Inference System
Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...
متن کاملRobust Point-Based Feature Fingerprint Segmentation Algorithm
A critical step in automatic fingerprint recognition is the accurate segmentation of fingerprint images. The objective of fingerprint segmentation is to decide which part of the images belongs to the foreground containing features for recognition and identification, and which part to the background with the noisy area around the boundary of the image. Unsupervised algorithms extract blockwise f...
متن کاملAlgorithm Based on Point Feature for Fingerprint Image Segmentation
The segmentation of fingerprint images is very important to automatic fingerprint recognition system. To decide which part of the image belongs to the foreground and which part to the background, different methods have been proposed. Some of the traditional methods are introduced and implemented in this paper and a novel pixel based fingerprint segmentation algorithm is proposed. Two kinds pixe...
متن کاملrobust potato color image segmentation using adaptive fuzzy inference system
potato image segmentation is an important part of image-based potato defect detection. this paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on genetic algorithm (ga) optimization and morphological operators. the proposed potato color image segmentation is robust against variation of background, distance and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Science China Information Sciences
سال: 2014
ISSN: 1674-733X,1869-1919
DOI: 10.1007/s11432-014-5095-7