Adaptive Medical Image Deep Color Perception Algorithm
نویسندگان
چکیده
منابع مشابه
Robust 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 کاملColor Image Quantization Algorithm Based on Self-Adaptive Differential Evolution
Differential evolution algorithm (DE) is one of the novel stochastic optimization methods. It has a better performance in the problem of the color image quantization, but it is difficult to set the parameters of DE for users. This paper proposes a color image quantization algorithm based on self-adaptive DE. In the proposed algorithm, a self-adaptive mechanic is used to automatically adjust the...
متن کاملAn Adaptive Blind Watermarking Algorithm for Color Image
This paper proposed a novel blind color digital watermarking algorithm based on Integer Discrete Wavelet Transform (IDWT) and Human Visual System (HVS). Firstly, color watermark image was processed into one dimension digital information, and color host image was converted into YIQ color space. Then, according to the features of HVS, encrypted watermark was embedded adaptively into the Y luminan...
متن کاملAn Adaptive Color Image Segmentation
A novel Adaptive Color Image Segmentation (ACIS) System for color image segmentation is presented. The proposed ACIS system uses a neural network with architecture similar to the multilayer perceptron (MLP) network. The main difference is that neurons here uses a multisigmoid activation function. The multisigmoid function is the key for segmentation. The number of steps i.e. thresholds in the m...
متن کاملAn Adaptive Fuzzy Clustering Algorithm for Medical Image Segmentation
An adaptive fuzzy clustering algorithm is presented for the fuzzy segmentation of medical images. By using a novel dissimilarity index in the cost functional of the fuuy clustering algorithm, our algorithm is capable of utilising contextual information in a 3x3 neighborhood to impose local spatial homogenuity, as well as the usual feature space homogenuity. This has the effects of smoothing out...
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: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2982187