Module visualization 

Visualization and Reporting Utilities for Image Processing Results

This module provides comprehensive tools for creating visual representations of image processing results, statistical plots, and comprehensive analysis reports. Designed for scientific documentation and presentation of image analysis workflows.

The module is organized into focused sub-modules for better maintainability:

• types - Core data structures, enums, and configuration types
• colormap - Color map implementations for scientific visualization
• plotting - Basic plotting functions (histograms, profiles, heatmaps, etc.)
• reports - Comprehensive report generation system
• statistical - Statistical visualization and comparison functions

Examples

Basic Plotting

use scirs2_core::ndarray::Array2;
use scirs2_ndimage::visualization::{PlotConfig, ColorMap, ReportFormat, plot_histogram};

let data = Array2::from_shape_fn((100, 100), |(i, j)| {
    ((i as f64).sin() * (j as f64).cos()).abs()
});

let config = PlotConfig::new()
    .with_colormap(ColorMap::Viridis)
    .with_format(ReportFormat::Html)
    .with_title("Sample Heatmap");

let histogram = plot_histogram(&data.view().into_shape_with_order(10000)?.view(), &config)?;

Report Generation

use scirs2_core::ndarray::Array2;
use scirs2_ndimage::visualization::{ReportConfig, ReportFormat, generate_report};

let image = Array2::from_shape_fn((50, 50), |(i, j)| {
    (i + j) as f64 / 100.0
});

let config = ReportConfig::new()
    .with_format(ReportFormat::Markdown)
    .with_header("Analysis Report", "SciRS2 NDImage")
    .with_all_sections();

let report = generate_report(&image.view(), None, None, &config)?;

Statistical Comparison

use scirs2_core::ndarray::Array1;
use scirs2_ndimage::visualization::{PlotConfig, ReportFormat, plot_statistical_comparison};

let control = Array1::from_vec(vec![1.0, 2.0, 3.0, 4.0, 5.0]);
let treatment = Array1::from_vec(vec![2.0, 3.0, 4.0, 5.0, 6.0]);

let datasets = vec![
    ("Control Group", control.view()),
    ("Treatment Group", treatment.view()),
];

let config = PlotConfig::new()
    .with_format(ReportFormat::Markdown)
    .with_title("Group Comparison");

let comparison = plot_statistical_comparison(&datasets, &config)?;

Modules

advanced

Advanced visualization utilities

colormap

Color Map Implementations

export

Export utilities for saving visualization output to files

plotting

Plotting and Visualization Functions

reports

Comprehensive Report Generation System

statistical

Statistical Visualization Functions

types

Core Types and Configurations for Visualization

Structs

ColorSchemes

Predefined color schemes for different visualization purposes

PlotConfig

Configuration for plotting operations

ReportConfig

Configuration for report generation

RgbColor

RGB color representation

Enums

ColorMap

Color map types for visualization

ReportFormat

Report output format options

Functions

add_basic_statistics

Add basic statistical information to the report

add_image_info

Add basic image information to the report

add_quality_metrics

Add image quality metrics to the report

add_qualitymetrics

Add image quality metrics to the report

add_texture_metrics

Add texture analysis metrics to the report

addimage_info

Add basic image information to the report

addtexturemetrics

Add texture analysis metrics to the report

apply_colormap_to_array

Apply a colormap to a 2D array to create a color image

autumn_colormap

Create an autumn color map (red to yellow)

calculate_dataset_statistics

Calculate statistical summary for a dataset

cool_colormap

Create a cool color map (cyan to magenta)

create_colormap

Create a color map for visualization

create_image_montage

Create an image montage/grid from multiple 2D arrays

createimage_montage

Create an image montage/grid from multiple 2D arrays

generate_report

Generate a comprehensive analysis report

get_colormap_function

Get a colormap function by type

gray_colormap

Create a grayscale color map

hot_colormap

Create a hot color map (black to white through red and yellow)

inferno_colormap

Create an inferno color map (perceptually uniform)

jet_colormap

Create a jet color map (blue to red through cyan, yellow)

plasma_colormap

Create a plasma color map (perceptually uniform)

plot_contour

Generate a contour plot representation of a 2D array

plot_correlation_matrix

Generate correlation matrix visualization for multiple datasets

plot_gradient

Alias for plot_gradient for backward compatibility

plot_heatmap

Generate a heatmap visualization of a 2D array

plot_histogram

Generate a histogram plot representation

plot_profile

Generate a profile plot (line plot) representation

plot_statistical_comparison

Generate a comparative statistical plot for multiple datasets

plot_surface

Generate a 3D surface plot representation of a 2D array

spring_colormap

Create a spring color map (magenta to yellow)

summer_colormap

Create a summer color map (green to yellow)

viridis_colormap

Create a viridis color map (perceptually uniform)

visualize_gradient

Visualize gradient information as a vector field

winter_colormap

Create a winter color map (blue to green)