Method and device for extracting commodity body in commodity picture
A technology in pictures and commodities, applied in the field of the Internet, can solve the problem that the computer cannot obtain the location and coverage of the main body of the commodity.
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Embodiment 1
[0077] The method for extracting the main body of the product from the product picture will be described in detail below in conjunction with the accompanying drawings. image 3 It is a flow chart of the method for extracting the main body of the product in the product picture provided by this application. It can be seen from the figure that the method includes:
[0078] Step 301, obtaining the saliency of multiple selected regions in the picture corresponding to the picture data;
[0079] In this step, the acquisition of the saliency of multiple selected regions in a picture can be obtained by the existing saliency acquisition method, or by the following Figure 3A The acquisition procedure of the described saliency degree is obtained. Figure 3A The saliency acquisition methods shown include:
[0080] Step 3011, obtaining the first probability distribution histogram of each color in the color space in the selected area in the picture corresponding to the picture data;
[0...
Embodiment 2
[0122] The method for obtaining picture quality provided by the embodiment of the present application is further described in detail below in conjunction with the accompanying drawings, please refer to Figure 4 , which provides a flow chart of a method for acquiring picture quality in this application. Depend on Figure 4 It can be seen that the methods for obtaining the picture quality include:
[0123] Step 401, according to the saliency distribution of different multiple selected regions in the picture, obtain the potential commodity subject area;
[0124] In this step, firstly, in step 4011, the salience degrees of a plurality of selected regions are acquired; then, in step 4012, the salience degrees of a plurality of selected regions are averaged to obtain the picture The saliency distribution of multiple selected regions in the picture, the process can refer to Figure 4A .
[0125] More specifically, in step 4011, all areas in the picture can be scanned sequentiall...
Embodiment 3
[0178] The aforementioned device for extracting product bodies from product pictures will be described in more detail below in conjunction with the accompanying drawings, and its structure can be referred to Figure 5 The structure diagram shown, such as Figure 5 As shown, the device includes:
[0179] An acquisition unit 501, configured to acquire the salience of multiple selected regions in the picture corresponding to the picture data;
[0180] A selection unit 502, configured to select the center of the selected area with the highest degree of significance as the center of the potential commodity body area;
[0181] An enhancement unit 503, configured to enhance the prominence of all regions of the image corresponding to the image data with the center of the potential commodity body area as the center;
[0182] A selection unit 504, configured to select an absolute main area from within the main body area of the potential commodity, and select a background area from o...
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