diff --git a/modules/README.md b/modules/README.md
index abec3371d..28070d147 100644
--- a/modules/README.md
+++ b/modules/README.md
@@ -12,6 +12,8 @@ $ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<r
 
 - **aruco**: ArUco and ChArUco Markers -- Augmented reality ArUco marker and "ChARUco" markers where ArUco markers embedded inside the white areas of the checker board.
 
+- **barcode**: Barcode detecting and decoding methods.
+
 - **bgsegm**: Background segmentation algorithm combining statistical background image estimation and per-pixel Bayesian segmentation.
 
 - **bioinspired**: Biological Vision -- Biologically inspired vision model: minimize noise and luminance variance, transient event segmentation, high dynamic range tone mapping methods.
@@ -40,6 +42,12 @@ $ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<r
 
 - **hdf**: Hierarchical Data Storage -- This module contains I/O routines for Hierarchical Data Format: https://en.m.wikipedia.org/wiki/Hierarchical_Data_Format meant to store large amounts of data.
 
+- **hfs**: Hierarchical Feature Selection for Efficient Image Segmentation -- This module contains an efficient algorithm to segment an image.
+
+- **img_hash**: This module contains algorithms to extract hash of an image allowing to efficiently estimate similarity between images.
+
+- **intensity_transform**: The module brings implementations of intensity transformation algorithms to adjust image contrast.
+
 - **julia**: Julia language wrappers with samples and tests.
 
 - **line_descriptor**: Line Segment Extract and Match -- Methods of extracting, describing and matching line segments using binary descriptors.
@@ -52,8 +60,14 @@ $ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<r
 
 - **ovis**: OGRE 3D Visualiser -- allows you to render 3D data using the OGRE 3D engine.
 
+- **phase_unwrapping**: Quality-guided phase unwrapping.
+
 - **plot**: Plotting -- The plot module allows you to easily plot data in 1D or 2D.
 
+- **quality**: Image Quality Analysis (IQA) API.
+
+- **rapid**: Silhouette based 3D object tracking.
+
 - **reg**: Image Registration -- Pixels based image registration for precise alignment. Follows the paper "Image Alignment and Stitching: A Tutorial", by Richard Szeliski.
 
 - **rgbd**: RGB-Depth Processing module -- Linemod 3D object recognition; Fast surface normals and 3D plane finding. 3D visual odometry. 3d reconstruction using KinectFusion.
@@ -62,15 +76,25 @@ $ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<r
 
 - **sfm**: Structure from Motion -- This module contains algorithms to perform 3d reconstruction from 2d images. The core of the module is a light version of Libmv.
 
+- **shape**: Shape Distance and Matching
+
 - **stereo**: Stereo Correspondence -- Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV and dense stereo correspondence using Quasi Dense Stereo method.
 
 - **structured_light**: Structured Light Use -- How to generate and project gray code patterns and use them to find dense depth in a scene.
 
+- **superres**: Super Resolution
+
 - **surface_matching**: Point Pair Features -- Implements 3d object detection and localization using multimodal point pair features.
 
-- **text**: Visual Text Matching -- In a visual scene, detect text, segment words and recognise the text.
+- **text**: Scene Text Detection and Recognition -- This module contains algorithms to perform text detection, words segmentation and text recognition in a visual scene.
 
-- **tracking**: Vision Based Object Tracking -- Use and/or evaluate one of 5 different visual object tracking techniques.
+- **tracking**: Vision Based Object Tracking -- Use and/or evaluate different visual object tracking techniques.
+
+- **videostab**: Video Stabilization
+
+- **viz**: 3D Visualizer
+
+- **wechat_qrcode**: WeChat QR code detector for detecting and parsing QR code.
 
 - **xfeatures2d**: Features2D extra -- Extra 2D Features Framework containing experimental and non-free 2D feature detector/descriptor algorithms. SURF, BRIEF, Censure, Freak, LUCID, Daisy, Self-similar.