Optimized histogram computation model using cuckoo search for color image contrast distortion

2021 ◽  
pp. 103203
Author(s):  
Ashish Kumar Bhandari ◽  
Kankanala Srinivas ◽  
Anil Kumar
Keyword(s):  
Color Image ◽  
Cuckoo Search ◽  
Image Contrast ◽  
Computation Model

A Two-Level Hybrid Image Fusion Technique for Color Image Contrast Enhancement

2021 ◽  
Author(s):  
Vinit Kumar ◽  
Shahid Aziz ◽  
Syed Shahnawazuddin
Keyword(s):  
Image Fusion ◽  
Contrast Enhancement ◽  
Color Image ◽  
Image Contrast ◽  
Fusion Technique ◽  
Image Contrast Enhancement ◽  
Image Fusion Technique

scholarly journals COLOR IMAGE RETRIEVAL BASED ON FUZZY NEURAL NETWORK AND SWARM INTELLIGENCE TECHNIQUES

2022 ◽  
Vol 23 (1) ◽  
pp. 116-128
Author(s):  
Baydaa Khaleel
Keyword(s):  
Neural Network ◽  
Image Retrieval ◽  
Heuristic Algorithms ◽  
Color Image ◽  
Single Layer ◽  
Cuckoo Search ◽  
Query Image ◽  
Linear Discriminant ◽  
Fuzzy Neural ◽  
Image Retrieval System

Image retrieval is an important system for retrieving similar images by searching and browsing in a large database. The image retrieval system can be a reliable tool for people to optimize the use of image accumulation, and finding efficient methods to retrieve images is very important. Recent decades have marked increased research interest in field image retrieval. To retrieve the images, an important set of features is used. In this work, a combination of methods was used to examine all the images and detect images in a database according to a query image. Linear Discriminant Analysis (LDA) was used for feature extraction of the images into the dataset. The images in the database were processed by extracting their important and robust features and storing them in the feature store. Likewise, the strong features were extracted for specific query images. By using some Meta Heuristic algorithms such as Cuckoo Search (CS), Ant Colony Optimization (ACO), and using an artificial neural network such as single-layer Perceptron Neural Network (PNN), similarity was evaluated. It also proposed a new two method by hybridized PNN and CS with fuzzy logic to produce a new method called Fuzzy Single Layer Perceptron Neural Network (FPNN), and Fuzzy Cuckoo Search to examine the similarity between features for query images and features for images in the database. The efficiency of the system methods was evaluated by calculating the precision recall value of the results. The proposed method of FCS outperformed other methods such as (PNN), (ACO), (CS), and (FPNN) in terms of precision and image recall. ABSTRAK: Imej dapatan semula adalah sistem penting bagi mendapatkan imej serupa melalui carian imej dan melayari pangkalan besar data. Sistem dapatan semula imej ini boleh dijadikan alat boleh percaya untuk orang mengoptimum penggunaan pengumpulan imej, dan kaedah pencarian yang berkesan bagi mendapatkan imej adalah sangat penting. Beberapa dekad yang lalu telah menunjukan banyak penyelidikan dalam bidang imej dapatan semula. Bagi mendapatkan imej-imej ini, ciri-ciri set penting telah digunakan. Kajian ini menggunakan beberapa kaedah bagi memeriksa semua imej dan mengesan imej dalam pangkalan data berdasarkan imej carian. Kami menggunakan Analisis Diskriminan Linear (LDA) bagi mengekstrak ciri imej ke dalam set data. Imej-imej dalam pangkalan data diproses dengan mengekstrak ciri-ciri penting dan berkesan daripadanya dan menyimpannya dalam simpanan ciri. Begitu juga, ciri-ciri penting ini diekstrak bagi imej carian tertentu. Persamaan dinilai melalui beberapa algoritma Meta Heuristik seperti Carian Cuckoo (CS), Pengoptimuman Koloni Semut (ACO), dan menggunakan lapisan tunggal rangkaian neural buatan seperti Rangkaian Neural Perseptron (PNN). Dua cadangan baru dengan kombinasi hibrid PNN dan CS bersama logik kabur bagi menghasilkan kaedah baru yang disebut Lapisan Tunggal Kabur Rangkaian Neural Perceptron (FPNN), dan Carian Cuckoo Kabur bagi mengkaji persamaan antara ciri carian imej dan imej pangkalan data. Nilai kecekapan kaedah sistem dinilai dengan mengira ketepatan mengingat pada dapatan hasil. Kaedah FCS yang dicadangkan ini mengatasi kaedah lain seperti (PNN), (ACO), (CS) dan (FPNN) dari segi ketepatan dan ingatan imej.

A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve

2016 ◽  
Vol 47 ◽  
pp. 76-102 ◽  
Author(s):  
S. Pare ◽  
A. Kumar ◽  
V. Bajaj ◽  
G.K. Singh
Keyword(s):  
Image Segmentation ◽  
Color Image ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Color Image Segmentation ◽  
Energy Curve ◽  
Segmentation Technique

scholarly journals Gray and color image contrast enhancement by the curvelet transform

2003 ◽  
Vol 12 (6) ◽  
pp. 706-717 ◽  
Author(s):  
J.-L. Starck ◽  
F. Murtagh ◽  
E.J. Candes ◽  
D.L. Donoho
Keyword(s):  
Contrast Enhancement ◽  
Color Image ◽  
Curvelet Transform ◽  
Image Contrast ◽  
Image Contrast Enhancement

scholarly journals Color Image Contrast Enhancement using Daubechies D4 Wavelet and Luminance Analysis

2014 ◽  
Vol 86 (6) ◽  
pp. 6-10
Author(s):  
Murtaza SaadiqueBasha ◽  
M. Ramakrishnan
Keyword(s):  
Contrast Enhancement ◽  
Color Image ◽  
Image Contrast ◽  
Image Contrast Enhancement
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